Mobileye and WILLER Partner on Self-Driving Mobility Solutions for Japan, Southeast Asia

Produits Intel - il y a 3 heures 44 min

JERUSALEM, Israel, and OSAKA, Japan, July 8, 2020 – Mobileye, an Intel Company, and WILLER, one of the largest transportation operators in Japan, Taiwan and the Southeast Asian region, today announced a strategic collaboration to launch an autonomous robotaxi service in Japan and markets across Southeast Asia, including Taiwan. Beginning in Japan, the companies will collaborate on the testing and deployment of autonomous transportation solutions based on Mobileye’s automated vehicle (AV) technology.

More: Autonomous Driving at Intel | Mobileye News

“Our new collaboration with WILLER brings a meaningful addition to Mobileye’s growing global network of transit and mobility ecosystem partners,” said Prof. Amnon Shashua, Intel senior vice president and president and CEO of Mobileye. “We look forward to collaborating with WILLER as we work together for new mobility in the region by bringing self-driving mobility services to Japan, Taiwan and ASEAN markets.”

“Collaboration with Mobileye is highly valuable for WILLER and a big step moving forward to realize our vision of innovating transportation services: travel anytime and anywhere by anybody,” said Shigetaka Murase, founder and CEO of WILLER. “Innovation of transportation will lead to a smarter, safer and more sustainable society where people enjoy higher quality of life.”

Together, Mobileye and WILLER are seeking to commercialize self-driving taxis and autonomous on-demand shared shuttles in Japan, while leveraging each other’s strengths. Mobileye will supply autonomous vehicles integrating its self-driving system and WILLER will offer services adjusted to each region and user tastes, ensure regulatory framework, and provide mobility services and solutions for fleet operation companies.

The two companies aim to begin testing robotaxis on public roads in Japan in 2021, with plans to launch fully self-driving ride-hailing and ride-sharing mobility services in 2023, while exploring opportunities for similar services in Taiwan and other Southeast Asian markets.

For Mobileye, the collaboration with WILLER advances the company’s global mobility-as-a-service (MaaS) ambitions. Since announcing its intention to become a complete mobility provider, Mobileye has begun a series of collaborations with cities, transportation agencies and mobility technology companies to develop and deploy self-driving mobility solutions in key markets. The agreement with WILLER builds on Mobileye’s existing MaaS partnerships. Examples include the agreement with Daegu Metropolitan City, South Korea, to deploy robotaxis based on Mobileye’s self-driving system, and the joint venture with Volkswagen and Champion Motors to operate an autonomous ride-hailing fleet in Israel. The collaboration with WILLER greatly expands and strengthens the company’s global MaaS ambition.

WILLER aims to unify user experiences across countries in the region; it released a MaaS app in 2019 and enabled a QR-code-based payment system this year. WILLER has partnered with Kuo-Kuang Motor Transportation, the largest bus operator in Taiwan, and Mai Linh, the largest taxi company in Vietnam, as well as invested in Car Club, a car-sharing service provider in Singapore. WILLER also partners with 150 local transportation providers in Japan. On top of these partnerships, WILLER will provide self-driving ride-hailing and ride-sharing services in the region and provide the best customer-ride experiences together with Mobileye.

The collaboration between WILLER and Mobileye will add a new transportation mode to the existing range of transportation services, including highway buses, railways and car-sharing. Adding self-driving vehicles, on-demand features and sharing services will improve customer ride experiences and address social challenges such as traffic accidents, congestion and, especially, the shortage of drivers and the challenges resulting from Japan’s aging society. Together Mobileye and WILLER will accelerate the social benefits of self-driving transportation solutions that contribute to higher quality of daily lives, making society smarter, safer and more sustainable.

About Mobileye
Mobileye is the global leader in the development of computer vision and machine learning, data analysis, localization and mapping for advanced driver-assistance systems and automated driving. Mobileye’s technology helps keep people safer on the road, reduces the risks of traffic accidents, saves lives and aims to revolutionize the driving experience by enabling autonomous driving. Mobileye’s proprietary software algorithms and EyeQ® chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Mobileye’s products are also able to detect roadway markings such as lanes, road boundaries, barriers and similar items; identify and read traffic signs, directional signs and traffic lights; create a RoadBook™ of localized drivable paths and visual landmarks using REM™; and provide mapping for autonomous driving. More information is available in Mobileye’s press kit.

About WILLER
WILLER was established in 1994 to provide society- and community-centric transportation services. WILLER pursues cutting-edge technology and marketing strategies to better customers’ ride experiences and create innovative values for society and local community. In Japan, WILLER has the largest intercity bus networks and operates a railway in Kyoto and operates unique restaurant buses that offers local cuisine area by area. Besides Japan, WILLER operates car-sharing services in Singapore and ride-hailing taxis in Vietnam.

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Intel and the International Olympic Committee to Provide Support Services to Athletes Worldwide

Produits Intel - mar, 30/06/2020 - 17:00
Ashton Eaton is the third Olympian to achieve back-to-back gold medals (2012, 2016) in the decathlon and holds five World Championship gold medals in both the decathlon and heptathlon events. Eaton works at Intel as a product development engineer, focusing on integrating key technologies into the Olympic Games.

Intel, working with the International Olympic Committee (IOC), will extend life-coaching, mentoring, and learning and development services to more than 50,000 athletes that are a part of the Olympic community through the postponed Olympic Games in Tokyo next year. Intel will provide these services as part of Athlete365, the IOC’s official athlete support program. This new initiative is a direct outcome of Intel’s commitment to support Olympians and Olympic hopefuls who are managing the impact of the COVID-19 pandemic.

More: Olympic Games Tokyo 2020 (Press Kit)

Intel was able to provide these services through existing benefits the company offers its employees. Athlete benefits will include access to tools that will help address the challenges created by this worldwide pandemic. These tools and services include Headspace and EXOS, as well as additional learning and development services from Intel and LinkedIn. Further, Intel will design and deliver mentoring and networking services that are crafted specifically to support the needs of elite athletes within the Olympic community.

“Athletes work tirelessly to achieve their goals. In the process, they bring the world closer together. As a worldwide Olympic partner, we see the athletes as an extension to our Intel family and want to help in any way we can, especially during these challenging times. We have some great services for our Intel employees and want to extend them to the athlete community.”
– Intel CEO Bob Swan

“The IOC always has an athlete-first approach because athletes are at the heart of the Olympic movement. We are excited to be working with the Intel team to support athletes around the world, but also to drive the future of the Olympic Games through Intel’s cutting-edge technology. This collaboration is another demonstration of the support the IOC provides to athletes’ well-being at every stage of an athlete’s career.”
– IOC President Thomas Bach

“There are many important corporate benefits that can help athletes navigate future career opportunities. This program is crucial in supporting athletes achieve their professional and personal goals.”
– Ashton Eaton, Olympic champion and Intel employee

Intel and the IOC are committed to supporting the Olympic ecosystem, athletes and partners during the global pandemic. These benefits are available for Intel’s 100,000 employees, and now will extend to a greater community of 50,000 athletes spanning 200 countries. Additionally, Intel has donated Intel-technology-powered products, including virtual reality headsets, to different sporting committees to help athletes continue and enhance their training as well as staying connected. These benefits will provide athletes with resources beyond the Games and align with Intel’s mission of enriching lives and promoting inclusion. These service offerings build on Intel’s greater commitment to combating issues related to COVID-19 through its Pandemic Response Technology Initiative.

Services Provided to Athletes:

  • Intel employee mentoring services: Intel offers exclusive mentoring services from experienced Intel employees across a range of technical and non-technical backgrounds to help athletes develop meaningful growth opportunities as they retire from competition and transition into the next phases of their lives. Intel is widening the breadth of mentors by collaborating with the IOC to include IOC staff and experienced Olympic athletes. Athletes, including members of Team Intel, will be able to develop new post-competition pathways with their mentors and learn useful personal and professional skills.
  • Athlete Webinar Series: Today, Olympic champion and Intel employee Ashton Eaton and Intel’s vice president and general manager of the Olympic Program Office, Rick Echevarria, will participate in the IOC’s Athlete Webinar Series. Eaton will discuss his transition from Olympic athlete to Intel employee and how being an Olympian has prepared him for a career in technology.
  • Knowledge development: Intel is extending its employee-based courses taught by experienced Intel employees to the Olympic community. Courses are curated and adapted specifically for relevance to the athlete audience, building their competency in some of the most in-demand and essential skill sets industries are looking for in the evolving professional landscape of the future. Also, athletes can hone crucial skills important today and in their futures by accessing topics ranging from business and technology to public speaking and branding through LinkedIn.
  • Performance mindset: Athletes will have access to hundreds of resources for focus, sleep, movement and more, including content designed for recovery, competition, training and motivation through six months of Headspace Plus.  Additionally, athletes will have access to content developed by EXOS around mindset and recovery.

The post Intel and the International Olympic Committee to Provide Support Services to Athletes Worldwide appeared first on Intel Newsroom.

Intel Launches First Artificial Intelligence Associate Degree Program

Produits Intel - jeu, 25/06/2020 - 16:00
Students at Chandler-Gilbert Community College gather for a new student orientation in 2019. Intel is partnering with Maricopa County Community College District to launch the first Intel-designed artificial intelligence associate degree program in the U.S. The program’s first phase will be piloted online at Estrella Mountain Community College and Chandler Gilbert Community College in fall 2020. (Credit: Maricopa County Community College District)

What’s New: Intel is partnering with Maricopa County Community College District (MCCCD) to launch the first Intel-designed artificial intelligence (AI) associate degree program in the United States. The Arizona Commerce Authority will also provide a workforce grant of $100,000 to support the program. It will enable tens of thousands of students to land careers in high-tech, healthcare, automotive, industrial and aerospace fields.

“We strongly believe AI technology should be shaped by many voices representing different experiences and backgrounds. Community colleges offer the opportunity to expand and diversify AI since they attract a diverse array of students with a variety of backgrounds and expertise. Intel is committed to partnering with educational institutions to expand access to technology skills needed for current and future jobs.”
–Gregory Bryant, Intel executive vice president and general manager of the Client Computing Group

Whom It Helps: Based in Tempe, Arizona, MCCCD is the largest community college district in the U.S. with an estimated enrollment of more than 100,000 students across 10 campuses and 10,000 faculty and staff members.

How It Helps: The AI program consists of courses that have been developed by MCCCD’s faculty and Intel leaders based on Intel software and tools such as the Intel® Distribution of OpenVINO™ Toolkit and Intel Python. Intel will also contribute technical advice, faculty training, summer internships and Intel mentors for both students and faculty members. Students will learn fundamental skills such as data collection, AI model training, coding and exploration of AI technology’s societal impact. The program includes a social impact AI project that is developed with guidance from teachers and Intel mentors. Upon completion, MCCCD will offer an associate degree in artificial intelligence that can be transferred to a four-year college.

Why It’s Important: AI technology is rapidly accelerating with new tools, technology and applications requiring workers to learn new skills. Recent studies show the demand for artificial intelligence skills is expected to grow exponentially. A 2020 LinkedIn report notes that AI skills are one of the top five most in-demand hard skills. Research by MCCCD Workforce and Economic Development Office estimates an increase of 22.4 percent for these roles by 2029.

As of early June 2020, more than 43 million Americans have filed for unemployment benefits. Furthermore, a recent McKinsey study estimates that over 57 million jobs are vulnerable, meaning they are subject to furloughs, layoffs or being rendered unproductive. It is critical for educational institutions and corporations to collaborate to prepare for future workforce demands.

About AI Program Launch Details: The program’s first phase will be piloted online at Estrella Mountain Community College and Chandler Gilbert Community College in fall 2020. As physical distancing requirements are lifted and the concerns of the COVID-19 pandemic decrease, classes will begin in-person at both campuses.

More Context: This expands on the Intel® AI for Youth program, which provides AI curriculum and resources to over 100,000 high school and vocational students in nine countries and will continue to scale globally. (Read, “AI for Youth Uses Intel Technology to Solve Real-World Problems.”) Additionally, Intel recently collaborated with Udacity to create the Intel Edge AI for IoT Developers Nanodegree Program aimed at training 1 million developers. Intel has a commitment to expand digital readiness to reach 30 million people in 30,000 institutions in 30 countries. This builds on the company’s recently announced 2030 goals and Global Impact Challenges that reinforce its commitment to making technology fully inclusive and expand digital readiness.

Intel’s corporate responsibility and positive global impact work is embedded in its purpose to create world-changing technology that enriches the lives of every person on Earth. By leveraging its position in the technology ecosystem, Intel can help customers and partners achieve their own aspirations and accelerate progress on key topics across the technology industry.

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AI for Youth Uses Intel Technology to Solve Real-World Problems

Produits Intel - jeu, 25/06/2020 - 16:00

In Bangalore, India, 10th grader Rahul Jaikrishna developed Cyber Detective – an artificial intelligence-based model that detects cyber bullying with an accuracy of up to 80%. Fourteen-year-old Jaikrishna was inspired after learning that “confession pages” created by school students – online diaries on social media where young people post confessions and secrets – often make teens easy targets for bullying.

Jaikrisha didn’t learn AI programming in his everyday 10th grade syllabus. He picked it up via the Intel® AI for Youth program, which launched in 2019 in three countries and was offered at his school.

This year, AI for Youth will scale to nine countries. And by late 2020, program leaders hope to provide over 100,000 high school and vocational students with vital AI skills, curriculum and resources that can be applied in everyday life.

More: Intel Launches First Artificial Intelligence Associate Degree Program | Artificial Intelligence at Intel (Press Kit)

The skills are critical to accelerating new tools, technologies and applications in industries such as high-tech, healthcare, automotive, industrial and aerospace engineering, and more. A 2019 LinkedIn report notes that AI skills were the second-most in-demand skill behind cloud computing, while Forbes reported on the need to train more skilled AI professionals: “There are about 300,000 AI professionals worldwide, but millions of roles available to fill.” The democratization of AI and deep learning, says Forbes, is increasing the demand for AI professionals.

To fill this need, Intel plans to increase its AI for Youth program to teach as many as 30 million current and future workforce members about AI by 2030.

“Demystifying and democratizing AI for the next generation non-techie workforce is key to fuel mutual growth for countries, industries and broader society for the larger socio-economic revitalization, especially when COVID is impacting the economy and jobs worldwide,” said Brian Gonzalez, senior director of Government Market Trade at Intel. “The AI for Youth program is testimonial to our commitment to expand digital readiness for all people in the world.”

AI for Youth is offered today at K-12 and vocational schools in eight countries: India, Poland, South Korea, Germany, Singapore, United Kingdom, China and Russia. The United States joins that list today as the program’s ninth country.

Using the principles and techniques they learned as part of the AI for Youth program, students around the world are turning out technology-based solutions.

In November, 17-year old Polish students Jakub Florkowski, Antoni Marcinek, Wiktoria Gradecka and Wojciech Janicki from Jan Kanty High School applied the skills they learned from Intel AI for Youth to create the Hey Teacher! app.

The app match-makes private tutors to interested students in Poland via easy-to-navigate filters like subject, level of education, availability, location and price. The quartet created Hey Teacher! to solve a problem they faced as students: easily locating competent teaching resources to help explain or broaden their knowledge via private tutoring.

And in June 2019, four students at Busan Computer High School in South Korea noticed a staggering amount of energy wasted when they entered an empty computer lab. Despite not being in use, the lab’s air-conditioning, lights and PCs were on. They noticed a similar pattern of energy waste across the school’s 30 classrooms.

Instead of ignoring the issue, Lee Jihong, Kim Eundong, Kim Jidong and Lee Seungyun created Energy Guard. They spent seven months developing an AI algorithm that pairs a PC and a webcam with computer vision and other analytics to count the number of people present in a room and toggle on or off the room’s power supply.

The system is currently in pilot at the school’s PC lab. After the trial, Energy Guard will be expanded to over 30 rooms in the school. The group has set a goal of covering over 10,000 classrooms across South Korea.

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Intel and National Science Foundation Invest in Wireless-Specific Machine Learning Edge Research

Produits Intel - jeu, 25/06/2020 - 16:00

What’s New: Today, Intel and the National Science Foundation (NSF) announced award recipients of joint funding for research into the development of future wireless systems. The Machine Learning for Wireless Networking Systems (MLWiNS) program is the latest in a series of joint efforts between the two partners to support research that accelerates innovation with the focus of enabling ultra-dense wireless systems and architectures that meet the throughput, latency and reliability requirements of future applications. In parallel, the program will target research on distributed machine learning computations over wireless edge networks, to enable a broad range of new applications.

“Since 2015, Intel and NSF have collectively contributed more than $30 million to support science and engineering research in emerging areas of technology. MLWiNS is the next step in this collaboration and has the promise to enable future wireless systems that serve the world’s rising demand for pervasive, intelligent devices.”
– Gabriela Cruz Thompson, director of university research and collaborations at Intel Labs

Why It’s Important: As demand for advanced connected services and devices grows, future wireless networks will need to meet the challenging density, latency, throughput and security requirements these applications will require. Machine learning shows great potential to manage the size and complexity of such networks – addressing the demand for capacity and coverage while maintaining the stringent and diverse quality of service expected from network users. At the same time, sophisticated networks and devices create an opportunity for machine learning services and computation to be deployed closer to where the data is generated, which alleviates bandwidth, privacy, latency and scalability concerns to move data to the cloud.

“5G and Beyond networks need to support throughput, density and latency requirements that are orders of magnitudes higher than what current wireless networks can support, and they also need to be secure and energy-efficient,” said Margaret Martonosi, assistant director for computer and information science and engineering at NSF. “The MLWiNS program was designed to stimulate novel machine learning research that can help meet these requirements – the awards announced today seek to apply innovative machine learning techniques to future wireless network designs to enable such advances and capabilities.”

What Will Be Researched: Through MLWiNS, Intel and NSF will fund research with the goal of driving new wireless system and architecture design, increasing the utilization of sparse spectrum resources and enhancing distributed machine learning computation over wireless edge networks. Grant winners will conduct research across multiple areas of machine learning and wireless networking. Key focus areas and project examples include:

Reinforcement learning for wireless networks: Research teams from the University of Virginia and Penn State University will study reinforcement learning for optimizing wireless network operation, focusing on tackling convergence issues, leveraging knowledge-transfer methods to reduce the amount of training data necessary, and bridging the gap between model-based and model-free reinforcement learning through an episodic approach.

Federated learning for edge computing:

  • Researchers from the University of North Carolina at Charlotte will explore methods to speed up multi-hop federated learning over wireless communications, allowing multiple groups of devices to collaboratively train a shared global model while keeping their data local and private. Unlike classical federated learning systems that utilize single-hop wireless communications, multi-hop system updates need to go through multiple noisy and interference-rich wireless links, which can result in slower updates. Researchers aim to overcome this challenge by developing a novel wireless multi-hop federated learning system with guaranteed stability, high accuracy and a fast convergence speed by systematically addressing the challenges of communication latency, and system and data heterogeneity.
  • Researchers from the Georgia Institute of Technology will analyze and design federated and collaborative machine-learning training and inference schemes for edge computing, with the goal of increasing efficiency over wireless networks. The team will address challenges with real-time deep learning at the edge, including limited and dynamic wireless channel bandwidth, unevenly distributed data across edge devices and on-device resource constraints.
  • Research from the University of Southern California and the University of California, Berkeley will focus on a coding-centric approach to enhance federated learning over wireless communications. Specifically, researchers will work to tackle the challenges of dealing with non-independent and identically distributed data, and heterogeneous resources at the wireless edge, and minimizing upload bandwidth costs from users, while emphasizing issues of privacy and security when learning from distributed data.

Distributed training across multiple edge devices: Rice University researchers will work to train large-scale centralized neural networks by separating them into a set of independent sub-networks that can be trained on different devices at the edge. This can reduce training time and complexity, while limiting the impact on model accuracy.

Leveraging information theory and machine learning to improve wireless network performance: Research teams from the Massachusetts Institute of Technology and Virginia Polytechnic Institute and State University will collaborate to explore the use of deep neural networks to address physical layer problems of a wireless network. They will exploit information theoretic tools in order to develop new algorithms that can better address non-linear distortions and relax simplifying assumptions on the noise and impairments encountered in wireless networks.

Deep learning from radio frequency signatures: Researchers at Oregon State University will investigate cross-layer techniques that leverage the combined capabilities of transceiver hardware, wireless radio frequency (RF) domain knowledge and deep learning to enable efficient wireless device classification. Specifically, the focus will be on exploiting RF signal knowledge and transceiver hardware impairments to develop efficient deep learning-based device classification techniques that are scalable with the massive and diverse numbers of emerging wireless devices, robust against device signature cloning and replication, and agnostic to environment and system distortions.

About Award Winners and Project Descriptions: A full list of award winners and project descriptions can be found in “Intel and National Science Foundation Announce Future Wireless Systems Research Award Recipients.

More Context: NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) | Intel Labs (Press Kit) | Artificial Intelligence at Intel (Press Kit)

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Sharpening Our Research Focus for the Needs of a Post-Pandemic World

Produits Intel - mar, 23/06/2020 - 18:00

By Rich Uhlig

We’re at a significant inflection point in human history with a global pandemic dramatically reshaping how we work, connect and engage with each other. It’s not an exaggeration to say that this moment will have long-lasting and far-reaching effects — on economies, communities and how we approach technology innovation and investments for years to come. With over 700 researchers and expertise spanning multiple interdisciplinary domains, Intel Labs sees moments like these as an invitation to further sharpen our focus on disciplined innovation where it counts the most.

Intel recently announced its 2030 global impact goals, highlighting the urgent need to expand opportunities for people through technology and digital readiness initiatives. Our opportunities to bring about societal-level transformation at global scale with the help of technological research have never been greater.

More: Intel Labs (Press Kit)

While technology has served as a great connective glue in these times, the experience has been far from perfect and has laid bare gaps and new challenges. According to the World Economic Forum, education has been disrupted for over 1 billion students worldwide. Organizations such as the ACLU have voiced concerns over potential data abuse, overreach and privacy violations of much-needed health initiatives related to the pandemic, such as contact tracing.

At Intel Labs, we’ve had a long-standing focus on addressing the bottlenecks and barriers related to the movement, computation and security of data across diverse areas — from neuromorphic, probabilistic, anticipatory and quantum computing to memory, edge computing and 5G. We’re also paying attention to particular technology gaps exposed by the pandemic where we have had work underway for some time and see new opportunities to apply our research. A few such areas of note:

Enhancing the Virtual Work Experience: We’re researching innovative immersive telepresence technologies that can support lifelike interactions and help combat the “virtual fatigue” syndrome that many people experience as a result of at-length virtual engagements. These technologies integrate multicamera streams into existing livestream solutions and merge them into lifelike interactions for video chats and streamed online content. From our ethnographic research, we know that people use gaze, gesture, posture/body position, utterances, actions and other cues to establish shared areas of focus and reference that establish the context for effective interactions. We are exploring how to reduce friction and cognitive load in all-virtual settings by enabling immersive interactions through camera-array technologies, computational acoustics and semantic understanding of multimodal signals.

Rethinking Remote Learning: As the pandemic forced classrooms across the country to go virtual, educators have been facing a unique set of challenges related to assessing and sustaining student engagement. For older students, we have been exploring embedding new technologies for assessing engagement into learning platforms to empower teachers to personalize the learning experience especially during asynchronous learning, a key pain point in the post COVID-19 world. In the case of younger students (grades two and below), we have observed a lack of interest in screen-based learning and interactions. Our ambient-computing research focuses on creating engaging and immersive experiences by enabling physical interactions with objects along with a projected, animated agent that is aware of the physical environment and can understand students’ activities, utterances and gestures and respond accordingly. We are currently focused on math learning that lends itself well to manipulatives and physical interactions.

Privacy-Preserving Technologies: As artificial intelligence (AI) is increasingly used to study patient/population health data, facilitating data sharing across repositories without violating privacy will be critical to draw rapid insights for research, scientific and medical communities. We recently shared our work with the University of Pennsylvania and 29 other research institutions on federated learning for early detection of brain tumors. We’re also taking a closer look at potential use of Intel® Software Guard Extensions (Intel® SGX) technologies in an emerging class of applications for privacy-preserving contact tracing using location-based and proximity-detection methods.

Pathogen Surveillance: When a pathogen such as SARS-CoV-2 surfaces, techniques such as whole genome sequencing are used to create samples for comparison with known microbes, identify the nature of the pathogen and track its mutations. Surveilling these changes at a global level enables scientists to track the spread of a pathogen and better understand its risk profile. However, the exponential pace of pathogen database growth, along with the millions of comparisons required to match each sample, is challenging our ability to perform robust early detection and surveillance. We are investigating new approaches that use Intel® Optane™ technology to accelerate DNA/RNA similarity search with new biologically inspired algorithms co-designed with the hardware to more efficiently retrieve information from these large databases. The result will be faster and more accurate comparisons across millions of genomes that can help with COVID-19 and future pandemic responses.

As researchers, we see even more clearly during times of massive societal shifts the possibilities of how technology innovation can drive transformation. It reinforces our core mission to seek breakthroughs, solve for the biggest data challenges for our future and scale our work for broad societal impact.

Rich Uhlig is an Intel senior fellow and managing director of Intel Labs at Intel Corporation.


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Four Team USA Athletes Join Team Intel

Produits Intel - lun, 22/06/2020 - 17:00

Intel announced its support for four athletes who will represent Team Intel on the path to Tokyo 2020. These U.S. athletes are the first group to join Team Intel for the Tokyo Games.

Ashton Eaton (track and field), Lex Gillette (Paralympic track and field), Nneka Ogwumike (basketball) and Noah Lyles (track and field) have joined Team Intel as ambassadors for the upcoming Games. Athletes are the heart of what the Games represent as the world comes together to celebrate sport and diversity, and to push the boundaries of performance. In addition to being Team Intel ambassadors, these athletes will work with Intel on initiatives like Athlete 365, the IOC’s official athlete support program, and provide feedback on how Intel’s technology can support athletes and the sport ecosystem. Intel values the contribution from the athlete community and understands the unique perspective they bring when it comes to developing technology.

“We have great respect for the commitment necessary to compete on the world’s biggest stage and so we are excited to welcome these athletes to Team Intel,” said Rick Echevarria, vice president and general manager, Intel Olympic Program. “Each member not only brings an impressive list of athletic achievements, but also, importantly to us, a passion for the role that technology plays both in their sport and in the world. We look forward to supporting them on their journey over the next year.”

More: Olympic Games Tokyo 2020 (Press Kit)

Meet Team Intel

Ashton Eaton’s Olympic legacy will live on forever through his gold medal-winning performances on the track and his technical advancements with Intel off of it. He is only the third Olympian to achieve back-to-back gold medals (2012, 2016) in the decathlon and holds five World Championship gold medals in both the decathlon and heptathlon events. Eaton currently works at Intel as a product development engineer, focusing on integrating key technologies into the Games.

“I have a passion for engineering, so naturally I leaped at the opportunity to join Team Intel. I’ve been able to work with them as they continue to evolve their technology for the upcoming Olympic Games, as well as other support programs for athletes. Even though I’ve hung up my shoes and won’t be competing next summer, I’m so proud to contribute to advancements that will help athletes next year and beyond!”
– Ashton Eaton

Lex Gillette is a four-time Paralympic Games competitor – earning silver medals in track and field (2004, 2008, 2012, 2016). Blind since the age of 8, Gillette competes in track and field in the 100-meter and long jump for the United States. In addition to his four Paralympic Games medals, has earned nine World Championship medals. He is also a motivational speaker and works as an athlete mentor for Classroom Champions.

“Technology is helping make the future of sport more accessible and inclusive and has played an important role in my life and career development. I am honored to join Team Intel and be a part of a team that champions both technology and inclusivity. “
– Lex Gillette

Nneka Ogwumike has leveraged her collegiate, professional and international basketball success to support women’s empowerment, STEM education and promotion of health and wellness. She was drafted first overall in the 2012 WNBA draft and, that same year, was named WNBA Rookie of the Year. A six-time WNBA All-Star and member of the 2016 WNBA Champion Los Angeles Sparks, Ogwumike also serves as the President of the WNBA Players Association.

“I have been an advocate for STEM education, as I believe in the importance of representation in technological literacy in today’s world. As I work towards having the opportunity to represent the United States next summer in Tokyo, I am proud to be able to partner with Intel as they are an organization that is helping to bring us into the future.”
– Nneka Ogwumike

Noah Lyles has overcome many hurdles throughout his life, including child asthma, bullying, academic struggles, ADD and depression. Despite that, Lyles is prepared to take Tokyo by storm and return the United States track and field team to global prominence. Among his many accomplishments, he holds the world record in the indoor 300-meter with a time of 31.87 seconds and has won the 200-meter gold at both the 2014 Nanjing Youth Olympic Games and the 2019 World Athletics Championships.

“As I work towards qualifying for Tokyo next summer, it’s inspiring to be able to team up with an organization that puts as much effort into the Olympic Games as I do. Also, when I’m not training, I am passionate about technology, in particular gaming and creating music, so working with Intel is a natural fit for me.”
– Noah Lyles

The post Four Team USA Athletes Join Team Intel appeared first on Intel Newsroom.

Intel Announces Unmatched AI and Analytics Platform with New Processor, Memory, Storage and FPGA Solutions

Produits Intel - jeu, 18/06/2020 - 15:00

What’s New: Intel today introduced its 3rd Gen Intel® Xeon® Scalable processors and additions to its hardware and software AI portfolio, enabling customers to accelerate the development and use of artificial intelligence (AI) and analytics workloads running in data center, network and intelligent-edge environments. As the industry’s first mainstream server processor with built-in bfloat16 support, Intel’s new 3rd Gen Xeon Scalable processors makes AI inference and training more widely deployable on general-purpose CPUs for applications that include image classification, recommendation engines, speech recognition and language modeling.

“The ability to rapidly deploy AI and data analytics is essential for today’s businesses. We remain committed to enhancing built-in AI acceleration and software optimizations within the processor that powers the world’s data center and edge solutions, as well as delivering an unmatched silicon foundation to unleash insight from data.”
–Lisa Spelman, Intel corporate vice president and general manager, Xeon and Memory Group

Why It’s Important: AI and analytics open new opportunities for customers across a broad range of industries, including finance, healthcare, industrial, telecom and transportation. IDC predicts that by 2021, 75% of commercial enterprise apps will use AI1. And by 2025, IDC estimates that roughly a quarter of all data generated will be created in real time, with various internet of things (IoT) devices creating 95% of that volume growth2.


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Unequaled Portfolio Breadth and Ecosystem Support for AI and Analytics: Intel’s new data platforms, coupled with a thriving ecosystem of partners using Intel AI technologies, are optimized for businesses to monetize their data through the deployment of intelligent AI and analytics services.

  • New 3rd Gen Intel Xeon Scalable Processors: Intel is further extending its investment in built-in AI acceleration in the new 3rd Gen Intel Xeon Scalable processors through the integration of bfloat16 support into the processor’s unique Intel DL Boost® technology. Bfloat16 is a compact numeric format that uses half the bits as today’s FP32 format but achieves comparable model accuracy with minimal — if any — software changes required. The addition of bfloat16 support accelerates both AI training and inference performance in the CPU. Intel-optimized distributions for leading deep learning frameworks (including TensorFlow and Pytorch) support bfloat16 and are available through the Intel AI Analytics toolkit. Intel also delivers bfloat16 optimizations into its OpenVINO® toolkit and the ONNX Runtime environment to ease inference deployments.The 3rd Gen Intel Xeon Scalable processors (code-named “Cooper Lake”) evolve Intel’s 4- and 8-socket processor offering. The processor is designed for deep learning, virtual machine (VM) density, in-memory database, mission-critical applications and analytics-intensive workloads. Customers refreshing aging infrastructure can expect an average estimated gain of 1.9 times on popular workloads3 and up to 2.2 times more VMs4 compared with 5-year-old 4-socket platform equivalents.
    » View Press Kit
  • New Intel Optane persistent memory: As part of the 3rd Gen Intel Xeon Scalable platform, the company also announced the Intel Optane™ persistent memory 200 series, providing customers up to 4.5TB of memory per socket to manage data intensive workloads, such as in-memory databases, dense virtualization, analytics and high-powered computing.
    » View Press Kit
  • New Intel 3D NAND SSDs: For systems that store data in all-flash arrays, Intel announced the availability of its next-generation high-capacity Intel 3D NAND SSDs, the Intel SSD D7-P5500 and P5600. These 3D NAND SSDs are built with Intel’s latest triple-level cell (TLC) 3D NAND technology and an all-new low-latency PCIe controller to meet the intense IO requirements of AI and analytics workloads and advanced features to improve IT efficiency and data security.
    » View Press Kit
  • First Intel AI-optimized FPGA: Intel disclosed its upcoming Intel Stratix® 10 NX FPGAs, Intel’s first AI-optimized FPGAs targeted for high-bandwidth, low-latency AI acceleration. These FPGAs will offer customers customizable, reconfigurable and scalable AI acceleration for compute-demanding applications such as natural language processing and fraud detection. Intel Stratix 10 NX FPGAs include integrated high-bandwidth memory (HBM), high-performance networking capabilities and new AI-optimized arithmetic blocks called AI Tensor Blocks, which contain dense arrays of lower-precision multipliers typically used for AI model arithmetic.
    » View Press Kit
  • OneAPI cross-architecture development for ongoing AI innovation: As Intel expands its advanced AI product portfolio to meet diverse customer needs, it is also paving the way to simplify heterogeneous programming for developers with its oneAPI cross-architecture tools portfolio to accelerate performance and increase productivity. With these advanced tools, developers can accelerate AI workloads across Intel CPUs, GPUs and FPGAs, and future-proof their code for today’s and the next generations of Intel processors and accelerators.
  • Enhanced Intel Select Solutions portfolio addresses IT’s top requirements: Intel has enhanced its Select Solutions portfolio to accelerate deployment of IT’s most urgent requirements highlighting the value of pre-verified solution delivery in today’s rapidly evolving business climate. Announced today are three new and five enhanced Intel Select Solutions focused on analytics, AI and hyper-converged infrastructure. The enhanced Intel Select Solution for Genomics Analytics is being used around the world to find a vaccine for COVID-19 and the new Intel Select Solution for VMware Horizon VDI on vSAN is being used to enhance remote learning.

When Products are Available: The 3rd Gen Intel Xeon Scalable processors and Intel Optane persistent memory 200 series are shipping to customers today. In May, Facebook announced that 3rd Gen Intel Xeon Scalable processors are the foundation for its newest Open Compute Platform (OCP) servers, and other leading CSPs, including Alibaba, Baidu and Tencent, have announced they are adopting the next-generation processors. General OEM systems availability is expected in the second half of 2020. The Intel SSD D7-P5500 and P5600 3D NAND SSDs are available today. And the Intel Stratix 10 NX FPGA is expected to be available in the second half of 2020.

More Context: Accelerating AI and Analytics – Intel Processors, FPGAs, Memory & Storage, and Software (Press Kit)


» Click for full table

The Small Print:

1 IDC, Worldwide Storage for Cognitive/AI Workloads Forecast, 2018–2022, #US43707918e, April 2018

2 IDC, Edge computing, 5G and AI — the perfect storm for government systems, Shawn McCarthy, April 8, 2020

Configurations:

3 1.9x average estimated gain on popular workloads with the new 3rd Gen Intel® Xeon® Platinum 8380H processor vs. 5-year old platform. See claim 11 www.intel.com/3rd-gen-xeon-configs

4 Up to 2.2x more Virtual Machines with the new 3rd Gen Intel® Xeon® Scalable platform and Intel® SSD Data Center Family vs. 5-year old 4-socket platform. See claim 4 www.intel.com/3rd-gen-xeon-configs

The post Intel Announces Unmatched AI and Analytics Platform with New Processor, Memory, Storage and FPGA Solutions appeared first on Intel Newsroom.

Intel Elects Dion J. Weisler to Board of Directors

Produits Intel - mer, 17/06/2020 - 22:00

SANTA CLARA, Calif., June 17, 2020 – Intel Corporation today announced that Dion J. Weisler, former president and CEO of HP Inc., was elected to Intel’s board of directors. Weisler will serve as an independent director and member of the compensation and finance committees.

“We are excited to welcome Dion to the board,” said Intel Chairman Omar Ishrak. “He brings a deep understanding of the Intel customer experience and a wealth of technical industry knowledge spanning client, cloud and network computing. Dion also shares Intel’s strong commitment to corporate responsibility, having championed diversity and inclusion as well as sustainability while leading HP.”

Weisler, 52, has extensive global executive experience, including serving as the president and chief executive officer of HP Inc. from 2015 to 2019. Prior to that, he held senior executive roles at HP Co. and Lenovo Group Inc., where he was responsible for various operations in Asia Pacific and globally. His experience also includes management positions with Telstra Corp. Ltd., a telecommunications company, and Acer Inc. Weisler also has significant public company board experience. This includes serving on the HP Inc. board from 2015 to May 2020. He currently serves as a director on the boards of Thermo Fisher Scientific Inc. and BHP.

“Having admired Intel for more than three decades as the company that fueled compute as we know it, I’m honored and excited to join them as they transform to capitalize on new markets fueled by the incredible growth of data and intelligence. Their rich entrepreneurial culture, unique innovation and scale positions Intel to drive a positive global impact for decades to come,” Weisler said.

Intel’s company bylaws designate a range of nine to 15 board members. With this addition, there are currently 10 members on the board. Since 2018, Intel has added four independent directors, half of whom are women, including one who is an underrepresented minority.

“In the last two years, Intel has made significant changes to its board of directors, having reduced the average tenure, added critical skills and increased board diversity,” Ishrak said. “While we view this as positive progress, we are not satisfied. Consistent with Intel’s values, we expect to continue adding additional directors with a specific focus on increasing the representation of racially and ethnically diverse board members.”

The post Intel Elects Dion J. Weisler to Board of Directors appeared first on Intel Newsroom.

Intel RealSense Depth Camera D455: Twice the Range, Better Performance

Produits Intel - mar, 16/06/2020 - 17:00


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What’s New: Today, Intel introduced the Intel® RealSense™ Depth Camera D455, a new stereo-based depth camera equipped with a longer range and increased precision that achieves twice the range of previous generation models. The D455 grants developers the freedom to design vision-based solutions that give devices the ability to see, understand, interact with and learn from their environments.

“The Intel RealSense family of products now offers developers more choices. The D455 expands the capabilities of our stereo camera line allowing us to address a wider range of applications with longer range use cases and allowing users to design solutions that best meet their needs.”
–Sagi BenMoshe, Intel corporate vice president and general manager of the Intel RealSense Group

How It’s Different: Stereo depth works in a wide variety of lighting conditions. With its long range, enhanced accuracy and easy deployment, the D455 camera is a powerful tool that can be used for both indoor and outdoor applications.

For example, a key requirement for autonomous movement of a robot is the ability to “see” its environment. The longer range and improved coverage provided by the D455 allows a robot to scan its environment and make critical choices, like obstacle avoidance.

In healthcare applications, by mounting the D455 in the corner of a hospital room, staff can closely monitor patients through alerts based on movement via third-party software. This enhances patient care substantially as it frees up critical time for healthcare workers to tend to other priorities.

Why It’s Important: The D455 camera increases the optimal range to 6 meters, making it twice as accurate as the current D400 cameras without sacrificing field of view. The D455 also includes global shutters for the depth and RGB sensors to improve correspondence between the two different data streams and to match the field of view between the depth sensors and the RGB sensor. In addition, this camera also integrates an IMU to allow for refinement of its depth awareness in any situation where the camera moves.

How It Works: The D455 achieves less than 2% Z-error at 4 meters with several improvements. First, the depth sensors are located 95 millimeters apart, providing greater depth accuracy at a longer range. Second, the depth and RGB sensors are placed on the same stiffener, resulting in an improved alignment of color and depth. Lastly, the RGB sensor has the same field of view as the depth sensors, further improving correlation of depth and color points.

The D455 utilizes the same SDK 2.0 as the entire portfolio of Intel RealSense devices to leverage existing code base, allowing for easy upgrades from any of Intel’s depth cameras with virtually no development time.

When You Can Get It: The Intel RealSense Depth Camera D455 is priced at $239 and available for pre-order today. For more details and to order your camera, visit intelrealsense.com.

More Context: Intel RealSense Technology (Press Kit)

The post Intel RealSense Depth Camera D455: Twice the Range, Better Performance appeared first on Intel Newsroom.

2020 VLSI Symposia: Intel Showcases Intelligent Edge and Energy-Efficient Performance Research

Produits Intel - lun, 15/06/2020 - 18:00

What’s New: This week at the 2020 Symposia on VLSI Technology and Circuits, Intel will present a body of research and technical perspectives on the computing transformation driven by data that is increasingly distributed across the core, edge and endpoints. Chief Technology Officer Mike Mayberry will deliver a plenary keynote, “The Future of Compute: How Data Transformation is Reshaping VLSI,” that highlights the importance of transitioning computing from a hardware/program-centric approach to a data/information-centric approach.

“The sheer volume of data flowing across distributed edge, network and cloud infrastructure demands energy-efficient, powerful processing to happen close to where the data is generated, but is often limited by bandwidth, memory and power resources. The research Intel Labs is showcasing at the VLSI Symposia highlights several novel approaches to more efficient computation that show promise for a range of applications — from robotics and augmented reality to machine vision and video analytics. This body of research is focused on addressing barriers to the movement and computation of data, which represent the biggest data challenges of the future.”
–Vivek K. De, Intel fellow and director of Circuit Technology Research, Intel Labs

What Will Be Presented: Several Intel research papers will be presented that explore new techniques for higher levels of intelligence and energy-efficient performance across the edge-network-cloud systems of the future for a growing number of edge applications. Some topics covered in research papers (full list of research at the end of this News Byte) include:

Enhancing Efficiency and Accuracy of 3D Scene Reconstruction for Edge Robotics Using Ray-Casting Hardware Accelerators

Paper: A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications

Why It Matters: Certain applications, such as edge robotics and augmented reality, require accurate, fast and power-efficient reconstruction of complex 3D scenes from enormous volumes of data generated by ray-casting operations for real-time dense Simultaneous Localization And Mapping (SLAM). In this research paper, Intel highlights a novel ray-casting hardware accelerator that leverages new techniques to maintain scene reconstruction accuracy while achieving superior energy-efficient performance. These innovative approaches — including techniques like voxel overlap search and hardware-assisted approximation of voxels — reduce demand on local memory access, in addition to improving power efficiency for future edge robotics and augmented reality applications.

Reducing Power Expenditure of Deep Learning-Based Video Stream Analysis With an Event-Driven Visual Data Processing Unit (EPU)

Paper: A 0.05pJ/Pixel 70fps FHD 1Meps Event-Driven Visual Data Processing Unit

Why It Matters: Real-time deep learning-based visual data analytics, used in applications like safety and security, involves rapid object detection from multiple video streams and requires high compute cycles and memory bandwidth. Input frames in these cameras are typically down sampled to minimize that load, which degrades image accuracy. In this research, Intel demonstrates an event-driven visual data processing unit (EPU) that – combined with novel algorithms – can instruct deep learning accelerators to only process visual inputs using motion-based “regions of interest.” This novel approach alleviates the high compute and memory requirements of visual analytics at the edge.

Expanding Local Memory Bandwidth for Artificial Intelligence, Machine Learning and Deep Learning Applications

Paper: 2X-Bandwidth Burst 6T-SRAM for Memory Bandwidth Limited Workloads

Why It Matters: Many AI chips – particularly those used for natural language processing such as voice assistants – are increasingly bound by access to local memory. Frequency doubling or increasing the number of banks to address these challenges come at the cost of worse power and area efficiency, especially in area-constrained edge devices. With this research, Intel has demonstrated using a 6T-SRAM array to provide two times higher read bandwidth on demand in burst mode operation with 51% higher energy efficiency than frequency doubling and 30% better area efficiency than doubling the number of banks.

All-Digital Binary Neural Network Accelerator

Paper: 617TOPS/W All-Digital Binary Neural Network Accelerator in 10nm FinFET CMOS

Why It Matters: In power and resource-constrained edge devices where low precision outputs are acceptable for some applications, analog Binary Neural Networks (BNNs) have been used as an alternative to higher precision neural networks that are more computationally demanding and memory intensive. However, analog BNNs have lower prediction accuracy as they are less tolerant to process variations and noise. Through this research, Intel demonstrates the use of an all-digital BNN that delivers similar energy efficiency as analog in-memory techniques while providing better robustness and scalability to advanced process nodes.

Additional Intel research presented during the 2020 VLSI Symposia includes the following papers:

  • The Future of Compute: How the Data Transformation is Reshaping VLSI
  • Low-Clock-Power Digital Standard Cell IPs for High-Performance Graphics/AI Processors in 10nm CMOS
  • An Autonomous Reconfigurable Power Delivery Network (RPDN) for Many-Core SoCs Featuring Dynamic Current Steering
  • GaN and Si Transistors on 300mm Si (111) enabled by 3D Monolithic Heterogeneous Integration
  • Low Swing and Column Multiplexed Bitline Techniques for Low-Vmin, Noise-Tolerant, High-Density, 1R1W 8T-bitcell SRAM in 10nm FinFET CMOS
  • A Dual-Rail Hybrid Analog/Digital LDO with Dynamic Current Steering for Tunable High PSRR and High Efficiency
  • A 435MHz, 600Kops/J Side-Channel-Attack Resistant Crypto-Processor for Secure RSA-4K Public-Key Encryption in 14nm CMOS
  • A 0.26% BER, 10^28 Modeling-Resistant Challenge-Response PUF in 14nm CMOS Featuring Stability-Aware Adversarial Challenge Selection
  • A SCA-Resistant AES Engine with 6000x Time/Frequency-Domain Leakage Suppression Using Non-Linear Digital Low-Dropout Regulator Cascaded with Arithmetic Countermeasures in 14nm CMOS
  • CMOS Compatible Process Integration of SOT-MRAM with Heavy-Metal Bi-Layer Bottom Electrode and 10ns Field-Free SOT Switching with STT Assist
  • A 10nm SRAM Design using Gate-Modulated Self-Collapse Write Assist Enabling 175mV VMIN Reduction with Negligible Power Overhead

More Context: Intel Labs (Press Kit)

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Intel CET Answers Call to Protect Against Common Malware Threats

Produits Intel - lun, 15/06/2020 - 15:00

By Tom Garrison

The security of our customers’ data is a top priority at Intel. As part of Intel’s Security First Pledge, our engineers continue to deliver advancements to help safeguard our technology from evolving cyber-threats. It begins with designing and engineering security features into our products and continues in our work with the industry to move security innovation forward.

Today, we are announcing a new security capability. Intel® Control-Flow Enforcement Technology (Intel CET) will be first available on Intel’s upcoming mobile processor code-named “Tiger Lake.” Intel CET delivers CPU-level security capabilities to help protect against common malware attack methods that have been a challenge to mitigate with software alone.

Intel CET is designed to protect against the misuse of legitimate code through control-flow hijacking attacks – widely used techniques in large classes of malware. Intel CET offers software developers two key capabilities to help defend against control-flow hijacking malware: indirect branch tracking and shadow stack. Indirect branch tracking delivers indirect branch protection to defend against jump/call-oriented programming (JOP/COP) attack methods. Shadow stack delivers return address protection to help defend against return-oriented programming (ROP) attack methods. These types of attack methods are part of a class of malware referred to as memory safety issues, and include tactics such as the corruption of stack buffer overflow and use-after-free. For technical details, see A Technical Look at Intel’s Control-Flow Enforcement Technology.

According to TrendMicro’s Zero Day Initiative (ZDI), 63.2% of the 1,097 vulnerabilities disclosed by ZDI from 2019 to today were memory safety related. These malware types target operating systems (OS), browsers, readers and many other applications. It takes deep hardware integration at the foundation to deliver effective security features with minimal performance impact.

Intel was the first to tackle these complex security challenges, and we remain committed to working with the industry to drive security innovation. We recognized that scaling OS and application adoption to truly solve the problem would require industrywide collaboration. To accelerate adoption, we published the Intel CET specifications in 2016. Additionally, Intel and Microsoft have been working closely to prepare Windows 10 and developer tools so applications and the industry at large can offer better protection against control-flow hijacking threats.

“As more proactive protections are built into the Windows OS, attackers are shifting their efforts to exploit memory safety vulnerabilities by hijacking the integrity of the control flow,” said David Weston, director of Enterprise and OS Security at Microsoft. “As an opt-in feature in Windows 10, Microsoft has worked with Intel to offer hardware-enforced stack protection that builds on the extensive exploit protection built into Windows 10 to enforce code integrity as well as terminate any malicious code.”

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Microsoft’s upcoming support for Intel CET in Windows 10 is called Hardware-enforced Stack Protection, and a preview of it is available today in Windows 10 Insider Previews. This new Hardware-enforced Stack Protection feature only works on chipsets with Intel CET instructions. It relies on a new CPU architecture that is compliant with Intel CET specifications. For applications running on an OS that supports Intel CET, users can expect detailed guidance from our partners on how applications “opt-in” for protection.

The significance of Intel CET is that it is built into the microarchitecture and available across the family of products with that core. While Intel vPro® platforms with Intel® Hardware Shield already meet and exceed the security requirements for Secured-core PCs, Intel CET further extends advanced threat protection capabilities. Intel CET is also expected to be available in future desktop and server platforms.

As our work here shows, hardware is the bedrock of any security solution. Security solutions rooted in hardware provide the greatest opportunity to provide security assurance against current and future threats. Intel hardware, and the added assurance and security innovation it brings, help to harden the layers of the stack that depend on it.

The security of our products is an ongoing priority, not a one-time event. Together with our partners and customers, we continue to build a more trusted foundation for all computing systems.

Tom Garrison is vice president of the Client Computing Group and general manager of Security Strategies and Initiatives (SSI) at Intel Corporation.

Intel technologies may require enabled hardware, software or service activation.

No product or component can be absolutely secure. 

Your costs and results may vary. 

The post Intel CET Answers Call to Protect Against Common Malware Threats appeared first on Intel Newsroom.

Changes in Intel’s Technology, Systems Architecture and Client Group (Update)

Produits Intel - jeu, 11/06/2020 - 22:10

The following news release was updated on June 16, 2020:

SANTA CLARA, Calif., June 11, 2020 – Today, Intel announced that Jim Keller has resigned effective June 11, 2020, due to personal reasons. Intel appreciates Mr. Keller’s work over the past two years helping them continue advancing Intel’s product leadership and they wish him and his family all the best for the future. Intel is pleased to announce, however, that Mr. Keller has agreed to serve as a consultant for six months to assist with the transition.

Intel has a vastly experienced team of technical leaders within its Technology, Systems Architecture and Client Group (TSCG) under the leadership of Dr. Venkata (Murthy) Renduchintala, group president of TSCG and chief engineering officer. As part of this transition, the following leadership changes will be made, effective immediately:

  • Sundari Mitra, the former CEO and founder of NetSpeed Systems and the current leader of Intel’s Configurable Intellectual Property and Chassis Group, will lead a newly created IP Engineering Group focused on developing best-in-class IP.
  • Gloria Leong, a respected leader with more than 25 years at Intel and deep experience in delivering server products, will head the Xeon Performance Group, delivering key Intel® Xeon® products for the data center roadmap.
  • Gene Scuteri, an accomplished engineering leader in the semiconductor industry, will lead the Xeon Networking Engineering Group, delivering Xeon, networking and 5G products for the data center roadmap.
  • Uri Frank, a seasoned leader with more than 20 years’ experience in delivering SoCs and IP, and Boyd Phelps, who has led several generations of Intel CPUs and IA cores, will lead the Client Engineering Group, delivering key products for the client roadmap.
  • Daaman Hejmadi, with over two decades of experience leading teams inside and outside Intel, will lead the newly created Design Enablement Group, a horizontal team supporting Intel’s continued transformation.
  • Navid Shahriari, an experienced Intel leader, will continue to lead the Manufacturing and Product Engineering Group, which is focused on delivering comprehensive pre-production test suites and component debug capabilities to enable high-quality, high-volume manufacturing.

Intel congratulates Sundari, Gloria, Gene, Uri, Boyd, Daaman and Navid as we begin the next phase of our world-class engineering organization and look forward to executing on our exciting roadmap of products.

 

The post Changes in Intel’s Technology, Systems Architecture and Client Group (Update) appeared first on Intel Newsroom.

Intel Hybrid Processors: Uncompromised PC Experiences for Innovative Form Factors Like Foldables, Dual Screens

Produits Intel - mer, 10/06/2020 - 17:00

What’s New: Today, Intel launched Intel® Core™ processors with Intel® Hybrid Technology, code-named “Lakefield.” Leveraging Intel’s Foveros 3D packaging technology and featuring a hybrid CPU architecture for power and performance scalability, Lakefield processors are the smallest to deliver Intel Core performance and full Windows compatibility across productivity and content creation experiences for ultra-light and innovative form factors.

“Intel Core processors with Intel Hybrid Technology are the touchstone of Intel’s vision for advancing the PC industry by taking an experience-based approach to designing silicon with a unique combination of architectures and IPs. Combined with Intel’s deepened co-engineering with our partners, these processors unlock the potential for innovative device categories of the future.”
–Chris Walker, Intel corporate vice president and general manager of Mobile Client Platforms

Why They’re Great for Innovative PC Form Factors: Intel Core processors with Intel Hybrid Technology deliver full Windows 10 application compatibility in up to a 56% smaller package area for up to 47% smaller board size1 and extended battery life, providing OEMs more flexibility in form factor design across single, dual and foldable screen devices while delivering the PC experiences people expect. They are also:

  • The first Intel Core processors shipping with attached package-on-package (PoP) memory, further reducing board size.
  • The first Intel Core processors to deliver as low as 2.5mW of standby SoC power – an up to 91% reduction compared to Y-series processors – for more time between charges2.
  • The first Intel processors to feature native dual internal display pipes, making them ideally suited for foldable and dual-screen PCs.

When You Can Get It: Two announced designs powered by the Intel Core processors with Intel Hybrid Technology and co-engineered with Intel include the Lenovo ThinkPad X1 Fold, the first fully functional PC with a folding OLED display unveiled at CES 2020 and expected to ship this year, and the Intel-based Samsung Galaxy Book S expected in select markets starting in June.

In June 2020, Intel launches “Lakefield,” Intel Core processors with Intel Hybrid Technology. The processor leverages Intel’s Foveros 3D packaging technology and featuring a hybrid CPU architecture. (Credit: Intel Corporation)

About Key Features & Capabilities: Intel Core i5 and i3 processors with Intel Hybrid Technology leverage a 10nm Sunny Cove core to take on more intense workloads and foreground applications, while four power-efficient Tremont cores balance power and performance optimization for background tasks. The processors are fully compatible with 32- and 64-bit Windows applications, helping reach new heights for the thinnest and lightest designs.

  • Smallest package size, enabled by Foveros: With Foveros 3D stacking technology, processors achieve a dramatic reduction in package area – now only a miniscule 12x12x1 mm, approximately the size of a dime – by stacking two logic dies and two layers of DRAM in three dimensions, also eliminating the need for external memory.
  • Hardware-guided OS scheduling: Enabling real-time communication between the CPU and the OS scheduler to run the right apps on the right cores, the hybrid CPU architecture helps deliver up to 24% better performance per SOC power3 and up to 12% faster single-threaded integer compute-intensive application performance4.
  • More than 2x throughput on Intel UHD for AI-enhanced workloads5: Flexible GPU engine compute enables sustained, high-throughput inference applications – including AI-enhanced video stylization, analytics and image resolution upscaling.
  • Up to 1.7x better graphics performance6: Gen11 graphics delivers seamless media and content creation on the go – the biggest leap in graphics for Intel processor-based 7-watt systems. Convert video clips up to 54% faster7, and with support for up to four external 4K displays, immerse in rich visuals for content creation and entertainment.
  • Gigabit connectivity: With support for Intel® Wi-Fi 6 (Gig+) and Intel LTE solutions, experience seamless video conferencing and streaming online.

 

Processor Number Graphics Cores / Threads Graphics (EUs) Cache TDP Base Freq (GHz) Max Single Core Turbo (GHz) Max All Core Turbo (GHz) Graphics Max Freq (GHz) Memory i5-L16G7 Intel UHD Graphics 5/5 64 4MB 7W 1.4 3.0 1.8 Up to 0.5 LPDDR4X-4267 i3-L13G4 Intel UHD Graphics 5/5 48 4MB 7W 0.8 2.8 1.3 Up to 0.5 LPDDR4X-4267

 

More Context: Lakefield Press Kit | Lakefield Product Brief | Press Deck | Intel Images: Up Close with Lakefield

The Small Print:

Performance results are based on testing as of dates shown in configuration and may not reflect all publicly available updates. See configuration disclosure for details. No product or component can be absolutely secure.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks.

Your costs and results may vary.

Intel technologies may require enabled hardware, software or service activation.

Intel contributes to the development of benchmarks by participating in, sponsoring, and/or contributing technical support to various benchmarking groups, including the BenchmarkXPRT Development Community administered by Principled Technologies.

1 Up to 56% smaller package area and up to 47% smaller board size: Intel® Core™ i5-L16G7 compared to Intel® Core™ i7 8500Y processor

2 Up to 91% reduction in standby power: Intel® Core™ i5-L16G7 compared to Intel® Core™ i7-8500Y

3 Up to 24% better web browsing power efficiency: As measured by WebXPRT3 score per Watt on Intel® Core™ i5-L16G7 vs. Intel® Core™ i7-8500Y

4 Up to 12% faster single threaded integer compute intensive application performance: As measured by SPEC CPU2006 on Intel® Core™ i5-L16G7 vs. Intel® Core™ i7-8500Y

5 2x throughput on Intel UHD graphics for AI-Enhanced Workloads: As measured by MLPerf v0.5 Inference with Offline Scenario using OpenVINO 2020.R2 framework Closed ResNet50-v1.5 offline FP16 GPU (Batch=128) workload on Intel® Core™ i5-L16G7 versus Intel® Core™ i7-8500Y

6 Up to 1.7x better graphics performance: As measured by 3DMark 11 on Intel® Core™ i5-L16G7 vs. Intel® Core™ i7-8500Y

7 Up to 54% faster at converting video clips to your favorite format: as measured by Handbrake RUG 1213 on Intel® Core™ i5-L16G7 vs. Intel® Core™ i5-8200Y

The post Intel Hybrid Processors: Uncompromised PC Experiences for Innovative Form Factors Like Foldables, Dual Screens appeared first on Intel Newsroom.

Bob Swan Memo: The Sidelines are Not an Option; Intel Pledges $1M to Address Social Justice, Racism

Produits Intel - lun, 01/06/2020 - 07:40

Intel CEO Bob Swan sent the following memo to company employees in response to the recent senseless acts of racism and violence in the United States.

I’m writing to you to address recent events that have occurred here in the United States that are weighing heavily on so many of us over the past several days, weeks and months.

The senseless acts of racism and violence that recently took the lives of Ahmaud Arbery, Breonna Taylor and George Floyd, and threatened Christian Cooper are abhorrent and wrong. We stand with Ahmaud, Breonna, George, Christian, their families, their friends and their communities, and we call for an end to acts of racism, inequity and social injustice.

Black lives matter. Period. While racism can look very different around the world, one thing that does not look different is that racism of any kind will not be tolerated here at Intel or in our communities.

To our black employees and communities inside and outside Intel, I hear you and see you. You are hurting deeply. You are angry. You are tired. Barb Whye wrote about the pain many of you are feeling in a poignant note to her team titled “Where is the human in humanity?” When any part of our One Intel team is hurting, we all hurt. We stand with you and support you. Standing on the sidelines is not an option. My commitment to you is to open my mind and my heart to listen and act. I ask all of us to do this, together.

We can start by living more deeply into our values. Inclusion is one of the six values that shapes who we are and the culture we are creating at Intel. We strive to build a culture of belonging. We create a space where everyone can contribute to their fullest potential and deliver their best work. We welcome differences, knowing it makes us better. I challenge every one of us to ask ourselves the hard questions. Am I building an inclusive team? Am I making it possible for everyone to show up at work as their whole selves? Am I role-modeling humanity? What more can I do —  especially right now?

Have empathy and compassion for one another and seek to understand. Inform your thinking with diverse points of view. For all the managers at Intel, let’s check in on our teams and have open conversations about what’s happening because we know what happens outside of work impacts the work we do inside.

More broadly, though, we have a greater responsibility to drive change in the world. That is why our 2030 corporate responsibility strategy and goals include a deep focus on diversity and inclusion, including working with other companies to accelerate adoption of inclusive business practices across industries by creating and implementing a global inclusion index open standard. At a time when some companies are disinvesting in diversity and inclusion, we are investing more because it matters.

It’s also why today Intel is pledging $1 million in support of efforts to address social injustice and anti-racism across various nonprofits and community organizations. I also encourage employees to consider donating to organizations focused on equity and social justice, including the Black Lives Matter Foundation, the Center for Policing Equity and the NAACP Legal Defense Fund, all of which are eligible for Intel’s Donation Matching Program.

It’s with a heavy heart that I write this note because I’ve heard from many of you who are feeling deep pain and sadness right now. I know I speak for the leadership team, our board of directors and our employees around the globe when I say: We are here for you. Together we will get through this. Together we will change the world and enrich the lives of EVERY person on Earth.

— Bob

The post Bob Swan Memo: The Sidelines are Not an Option; Intel Pledges $1M to Address Social Justice, Racism appeared first on Intel Newsroom.

Opinion: Non-Obvious Scale Implications of Safety on AV System Design

Produits Intel - jeu, 28/05/2020 - 15:00

In a Medium blog post, “The Challenge of Supporting AV at Scale,” Mobileye president and CEO Prof. Amnon Shashua explains why Mobileye is taking a redundant sensing approach to its autonomous vehicle (AV) system design and shows in an accompanying video how the company’s AVs can handle the challenge of driving in Jerusalem using only a camera-based sensing suite.

He writes: “The clip also provides an opportunity to articulate our approach to AV development, which as far as we know is unique and stands out among the various actors in the AV industry. The problem we aim to solve is scale. The true promise of AVs can only materialize at scale – first as a means for ride sharing via robo-shuttles and later as passenger cars offered to consumers. The challenges to support AVs at scale center around cost, proliferation of HD-maps and safety. The point I would like to make here: Safety must dictate the software and hardware architecture in ways that are not obvious.”

» Read full blog on Medium

More: Mobileye News | Autonomous Driving at Intel

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Intel Announces 2020 US Partner of the Year Awards for Excellence in Accelerating Innovation

Produits Intel - jeu, 21/05/2020 - 19:00


What’s New: Today Intel recognized the outstanding achievements of 30 partners with the distinction of Partner of the Year at its Intel Partner Connect 2020 virtual conference. The Partner of the Year awards honor Intel partners demonstrating excellence in technology innovation, go-to-market strategizing, sales growth and marketing.

“We appreciate each of our partners for their continued collaboration to bring new technologies to life for our customers. The shared results from 2019 demonstrate our strong partnerships and collective mission to bring innovative solutions to businesses and organizations across the world.”
– Greg Ernst, Intel vice president in the Sales and Marketing Group and general manager of U.S. Sales

Why It’s Important: The title of Partner of the Year is awarded to companies achieving the highest standards of design, development, integration and technology deployment to accelerate innovation, growth and go-to-market strategies. They represent great examples of what’s possible when we, as an ecosystem, work together.

Partner Program Winners:

Global Innovation

  • Accenture – Global Innovation Partner – Globally deploying innovative solutions across artificial intelligence (AI), analytics, blockchain and device-as-a-service leveraging Intel technologies: Intel® OpenVINO™, Intel® Arria® 10 FPGA, Intel® Movidius™ Myriad™ X VPU, Intel® Connected Logistics platform and the Intel vPro® platform.

LOEM

  • AIS – Growth – Continuously grew integration of Intel® NUC product to enhance video collaboration solutions in enterprise and education.
  • Colfax International – Go-to-Market – For successfully deploying Intel® Optane™ persistent memory DIMMS at launch and strategizing a cohesive pricing model.
  • Crystal Group – Growth – Delivered innovative, ruggedized systems tailored to specific customer needs for oil and gas, and power substation/micro grid market-ready solutions for Intel’s common substation platform.
  • Eluktronics – Innovation – Leading channel whitebook GTM strategy with SPG and executing TTM launch of Queen’s County, selling 1.2ku in first quarter.
  • IBuyPower – Go-to-Market – Set its sights on TAM expansion with Intel technology through a bold, creative and unique partnership with Toyota Racing Development. With this program, it unveiled a state-of-the-art gaming and training zone at Toyota Performance Center, remastered its Pro Series of workstation PCs for professionals, launched a series of TRD-approved systems for gamers, and broadcasted a video series designed to award-winning college students with gaming room makeovers, all with Intel branding and powered by Intel-based PCs.
  • Penguin Computing – Innovation – An innovative Linux solution for high-performance computing on-premise and in the cloud with Penguin Computing professional and managed services.
  • Razer – Growth – Razer saw exceptional growth in 2019, in part by bringing the latest Intel technologies to market, including Intel® Core™ i7 processors, Intel® Iris® Plus graphics, Thunderbolt™ 3 and Wi-Fi 6, to deliver high-performance thin-and-light gaming laptops.
  • Simply NUC – Go-to-Market – Dedicated to expanding the use cases of mini PCs into new growth segments such as digital signage, academic collaboration and AI. Simply NUC is your one-stop shop for systems, solutions and accessories.
  • Vast Data – Innovation – For close collaboration and partnership in creating Intel Optane technology-based storage solutions for new applications, such as analytics and AI, machine learning and deep learning. Uniquely integrated key Intel technologies to simplify the data center stack, eliminate storage complexity and tiers, and enable all-flash performance with archive economics.

National

  • CDW – Growth – Expanding Intel client, data center, storage and networking infrastructure solutions across over 150 countries.
  • Connection – Go-to-Market – For their dedication to selling devices consistently across SMB, public sector and enterprise segments.
  • Insight – Innovation – For simplifying complex solutions in emerging technologies like the internet of Things (IoT) and machine learning – including the Connected Platform for Detection and Prevention of the spread of viruses – to accelerate our clients’ time to value, drive efficiency in their workplaces and create positive customer experiences through partnerships and solution aggregation at scale.
  • Logicalis – Go-to-Market – Intel pre-validated, and pre-integrated IoT solutions across markets, such as asset management in healthcare, machine vision in industrial, and smart city applications.
  • Pivot – Go-to-Market – Edge secure connectivity, computing and collaboration solutions that continue to advance and scale Smart Edge’s software. Pivot signed a three-year preferred partnership agreement with Intel to continue investing in and drive the Intel® Smart Edge/Edge solution (branded Pivot Intelligent Edge) to market and support its future growth. Pivot has integrated Smart Edge to be a foundational component of Pivot’s Intelligent Edge Solution and Services that provide best-in-class secure connectivity across multiple wireless protocols (CBRS, LTE, Wifi, Lora, Zigbee, etc.).
  • Presidio – Growth – Deployed Intel-based solutions around HCI, SDS and Hybrid Cloud across its middle market, enterprise and government clients.
  • SHI International Corp. – Innovation – Leads the way with its cutting-edge Zero Touch, which streamlines configuration, deployment and management of Intel processor-based Win 10 client devices.
  • World Wide Technology – Growth – Designed, built, and deployed transformational solutions for multicloud, AI/analytics, IoT and 5G, supporting our largest enterprise, public sector, and service provider customers.
  • Zones – Innovation – For its leadership in solution development and deployment of the Intel Unite®

ISA

  • BCM – Highest IOT Growth at Associate/Affiliate Level – Provided medical equipment OEMs with a viable IoT data collection and aggregation device using Intel Core technology. Understands multiple vertical markets and embedded life cycle management, and reduces time to market with a quality product.
  • Crestron – Most Engaged Co-Marketing – The Creston Collaboration solution is an Intel® IoT Market Ready Solution built on Intel technologies (Intel Core i7, Movidius and Intel Arria FPGA). Creston engaged in a multifaceted Intel IoT Solutions Alliance co-marketing campaign (event, collateral, demos, digital), insight.tech content marketing platform, and the Intel® Solutions Marketplace to develop leads, accelerate its business and drive revenue and deployments.
  • Dell OEM – Largest IoT Co-sell Partner +Biggest IOT Growth Partner – Dell Technologies Original Equipment Manufacturer (OEM) Embedded & Edge Solutions delivers customized infrastructure, services and a secure supply chain designed for your vision and business goals – all from one trusted, sustainable and secure vendor. Dell OEM offers solutions for IoT, communications, medical, retail and more than 40 additional verticals.
  • Noodle.ai – Most impactful MRS – Noodle.ai is a mature startup software company with deep heritage and expertise of AI/ML analytics for factory/industrial environments. With the support from Intel and Dell, Noodle.ai will continue to pioneer the Smart Factories initiative, as part of the Industry 4.0 rollout.

Distributor

  • Synnex CorporationData Center Group Distributor of the Year – Grew its overall data center business with a companywide focus on growing this segment, which resulted in overall data center growth, and Intel adjacencies and Intel® Data Center Blocks.
  • Ingram MicroClient Computing Group Distributor of the Year – Grew its client computing business through a sales and marketing strategy focused on growth areas, like solutions-based on Intel NUC products.
  • ArrowInternet of Things Group Distributor of the Year – Drove an overall IoT silicon, systems, solution strategy that led to expanding its overall business and evolving its IoT go-to-market strategy.
  • ASINon-Volatile Memory Solutions Group Distributor of the Year – Exceptional growth year-over-year through a very focused effort across the entire company.
  • Tech DataBranded Systems Distributor of the Year – Strong growth results on both end-point products and data center through a variety of companywide initiatives.
  • Tech DataPartner Enablement Distributor of the Year – Delivered innovative solutions to help its Intel partners grow their Intel business through Tech Data’s Propel ITP program.
  • Computech InternationalChannel Innovation Award – Brought Intel nonvolatile memory solutions to new markets, expanding Intel’s channel presence and customer base.

More Context: Intel’s Partner Program Page | Intel Announces 2020 Americas Partner of the Year Awards

The Small Print: Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Cost reduction scenarios described are intended as examples of how a given Intel-based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstances will vary. Intel does not guarantee any costs or cost reduction.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.

Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks.

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Intel Acquires Rivet Networks, Boosting Intel’s Wi-Fi Offerings for PC Platforms

Produits Intel - mer, 20/05/2020 - 22:00

By Chris Walker

Wi-Fi connectivity has become more essential than ever as we rely on it to work, teach, learn and stay connected to colleagues and loved ones. Fast, reliable and secure Wi-Fi connectivity is a necessity for keeping up as we add more connected devices and higher bandwidth applications for gaming, video streaming and content creation, as well as for processing increasingly larger file sizes.

In today’s homes there are an average of 11 Wi-Fi-enabled devices. Over the past few months, Comcast has reported that Wi-Fi-connected video calls and video conferencing have increased over 283%, and Charter Communications reports that over 90% of the traffic on its ISP network is Wi-Fi-based. Even in the case of your phone, more than 70% of your mobile (cellular) data traffic runs on Wi-Fi.

Intel has been investing and contributing to the evolution of Wi-Fi for more than 20 years, and today we’re excited to announce another leap forward. We are acquiring Rivet Networks, a leader in software and cloud-based technologies for networking connectivity.

More: Client Computing News

Intel and Rivet Networks have partnered to build the Killer AX1650 Wi-Fi solution, which delivers immersive entertainment and gaming experiences along with powerful Wi-Fi 6 technology. Rivet Networks’ capabilities, including its software, are complementary to Intel’s wireless products and capabilities. (Credit: Rivet Networks)Rivet Networks is a terrific complement to our existing Wi-Fi products and helps us further our vision of delivering PC platforms that power every person’s greatest contribution. Rivet Networks’ products deliver speed, intelligence and control for gamers and performance users. Its products maximize Wi-Fi bandwidth utilization and optimize the wireless network connection on your platform. In addition, Rivet Networks’ products can also utilize the combination of Ethernet and Wi-Fi to prioritize traffic over both connections.

Its team will join our Wireless Solutions Group within the Client Computing Group. Rivet Networks’ key products, including its Killer brand, will integrate into Intel’s broader PC Wi-Fi portfolio. With the addition of Rivet Networks’ software, we will license its software to customers and develop new solutions for broader PC connectivity enhancement. With Rivet Networks’ and Intel’s leading Wi-Fi products, we can scale our PC Wi-Fi portfolio to better serve our customers, ecosystem and channel partners.

In addition to an expanding portfolio of Wi-Fi solutions for PC Platforms, we continue to advocate for Wi-Fi standards, contribute to the developer ecosystem and deliver new value for our PC OEM customers. More specifically:

  • Leading the development and testing of 801.11ax (Wi-Fi 6): Intel took a lead role in the industry to define and deliver Wi-Fi 6 to the market. Our products were ahead of the competition and were selected as the “test bed” for Wi-Fi 6 certification. We also delivered the world’s first Wi-Fi 6 client for PCs, delivering over 1.2 Gbps throughput. But even more important, Intel led the ecosystem in conducting interoperability testing with Cisco, Aruba, Broadcom, Qualcomm and Microsoft to ensure great user experiences in new Wi-Fi 6 and legacy network implementations.
  • Advocating for Wi-Fi Standards: We are strong advocates for Wi-Fi 6 and beyond, having worked closely with the FCC, ecosystem and standards bodies to ensure interoperability, to drive new and innovative capabilities into the standards, and to advocate for spectrum and certification policy issues. Most recently, the FCC opened 1200 MHz of 6 GHz spectrum to unlicensed Wi-Fi use, which will significantly improve Wi-Fi for all Americans. Opening this band will enable significant new capacity and ensure more opportunities for the Wi-Fi ecosystem that is relied on by millions of people and businesses.
  • Developing the Best PC and Connectivity Experiences:
    • Wi-Fi 6 Desktop Developer Kit: We launched an Intel Wi-Fi 6 Desktop developer kit to bring Gigabit+ wireless speeds to new and existing desktop PCs. The kit can be installed in less than 10 minutes and provides a max wireless speed of 2.4 Gbps, which is nearly three times faster than the standard AC 2×2 module with 80 MHz channels and 75 percent lower latency for gaming and video conferencing. It also allows for four times greater capacity of devices on a network. This kit was designed with DIYers and small- to medium-size businesses.
    • Project Athena: Project Athena is a multiyear innovation program designed to deliver a new class of advanced laptops. The program is rooted in user insights and real-life situations. Together with our OEM partners, we’ve leveraged these insights to build PCs that fit at least six criteria that enable the most seamless PC experiences. One of the central features of Project Athena is to create devices that include a fast and persistent connection with Intel® Wi-Fi 6 (Gig+) and optional Gigabit LTE. We have verified more than 40 devices that meet the Project Athena specification.

We are committed to enabling our customers to deliver the best PC experiences, especially when we have become more reliant on technology. We know how important connectivity is in enriching our lives. We will keep you updated on our progress and look forward to having the Rivet Networks team as part of the Intel family, developing technologies that matter to you.

Chris Walker is corporate vice president and general manager of the Mobile Client Platforms Group at Intel Corporation.

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‘Where Tomorrow Begins’: Intel’s Components Research Labs

Produits Intel - mar, 19/05/2020 - 17:00

Walk into Intel’s Components Research (CR) labs in Oregon and you see an overhead sign: “This is where tomorrow begins.”

CR scientists and engineers invent and develop novel materials used in Intel microprocessors, system-on-chip products and 5G devices. They are always improving transistor and system performance and overcoming the problems of physics that arise as chips’ features shrink to the atomic scale. That often requires inventing exotic materials – creating new chemical compounds, in some cases – to build the extremely thin computer chip layers that are crafted one atom or molecule at a time.

Over the years, CR staff helped introduce revolutionary technologies such as High-K metal gate technology, Tri-gate 3D transistors, strained silicon, embedded multi-die interconnect bridge (EMIB) package technologyextreme ultraviolet lithography (EUV) technology and more. It’s their revolutionary process and package technologies that keep Moore’s Law moving forward. They don’t usually work on today’s problems — they work on tomorrow’s, searching for enabling solutions typically five to 10 years ahead of production.

“Our job is to invent, to demonstrate and to develop game-changing and revolutionary processing and packaging technologies to enable Intel’s process technology leadership,” said, Robert Chau, CR leader and Intel Senior Fellow.

More: All Intel Images | Intel’s Components Research Labs on the Ronler Acres Campus in Oregon (B-Roll)

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Technology from Intel Capital Firms Helps in the Coronavirus Fight

Produits Intel - ven, 15/05/2020 - 17:00

As hospitals, governments, private firms and healthcare providers around the world battle the coronavirus, a collection of companies in which Intel Capital has invested – all of them small to medium-sized – offer products and services to help in the fight.

More: Intel Capital News | Intel Capital Website | Intel Response to COVID-19 Crisis (Press Kit)

Intel Capital, the company’s venture capital firm and one of the world’s largest, estimates that it has invested more than $100 million in recent years in companies with technology-related solutions to help address the world’s most severe pandemic in more than a century.


» Download all images (ZIP, 4 MB)

Medical Informatics wrangles a flood of ICU data into a manageable view

Crowded beside a patient’s bed in a typical intensive care unit (ICU) is a constellation of medical technology: monitors, ventilators, extracorporeal membrane oxygenation devices, alarms and more. Each of these devices is spitting out critical patient info — in unconnected streams of data. That’s a problem.

An FDA-cleared software product called the Sickbay™ Clinical Surveillance and Analytics Platform solves this. It was created by Intel Capital-funded Medical Informatics Corp. (MIC), based in Houston. Sickbay™ gathers a patient’s key ICU data to provide single and multipatient near-real-time dashboards as well as full retrospective data views. The result: doctors, nurses and others can check on a critically ill patient’s well-being in a single glance – from afar. In this way, a single provider can keep eyes on up to 100 patients at once or create a personalized patient watchlist across units, facilities and vendors – and virtually from an office or home.

“Our virtual ICU” is based on the Sickbay platform, Dr. Roberta Schwartz with Houston Methodist Hospital recently told Becker’s Health IT. This means that “many of our providers can see the patients via virtual visits and not risk exposure in our ICU rooms,” she said.

Other hospitals across the country currently use Sickbay for flexible remote monitoring. The same hospitals are now leveraging Sickbay to rapidly scale bed capacity for COVID-19, extend staff capacity and protect providers from exposure. Sickbay unlocks data hospitals have never had access to before so they can use artificial intelligence (AI) and machine learning (ML) to create their own analytics.

Under MIC’s Scale to Serve Program and as part of Intel’s $50 million Pandemic Response Technology Initiative (PRTI), Intel and MIC are talking to hospitals across the U.S. to enable them to quickly deploy Sickbay and protect their critical care providers. Intel is funding the implementation fees and MIC is waiving the software subscription licensing fees for the first 90 days for the first 100 hospitals that qualify for the Scale to Serve Program. (Learn more about applying on the Intel Newsroom.)

VeriSIM Life helps speeds drug development

In the search for new virus-fighting drugs or vaccines, Intel Capital-funded VeriSIM Life has developed a software platform that can help speed the discovery of new pharmaceuticals.

The system from the 2-year-old San Francisco-based biotech startup can model experimental test results of thousands of drug compounds in hours, speeding the time to when human trials can begin and new drugs can reach the market.

In a recent Medium post, VeriSIM Life writes that the company “utilizes computational methods which simulate human & animal physiological phenomena that quickly identify & prioritize the solutions that have the highest probability of preclinical & clinical success.”

VeriSIM Life’s approach to drug development largely replaces animal testing with biosimulation — an approach that draws on large existing datasets from prior animal and human research to help developers model how a new drug will likely interact with the human body.

Other Intel Capital-funded companies addressing the pandemic

Other Intel Capital-funded companies addressing the coronavirus pandemic include those with technology to help hospitals smartly route high volumes of patient calls, to deliver county-by-county level coronavirus contagion prediction and to help software developers quickly test new medical-related mobile apps.

This list shows Intel Capital firms with technology to help address the coronavirus pandemic.

Company Company Overview COVID-19 Impact Amenity Analytics develops cloud-based text analytics solutions using natural language processing (NLP) and machine learning. Founded in 2015, Amenity currently has more than 50 employees. It is headquartered in New York City and has an R&D office in Tel Aviv, Israel. Gartner named Amenity Analytics a 2018 “Cool Vendor” in AI for banking and financial services. Using Amenity’s suite of NLP solutions, the company created a health epidemic tracker that analyzes earnings call transcripts to assess how public health outbreaks like the coronavirus epidemic can affect business operations and economic conditions. Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts, in their context.

Its patented technology is used by many Fortune 500 companies, from digital business to telecom. Anodot can reduce the time it takes for detection and resolution of revenue-critical issues by as much as 80%. With the COVID-19 outbreak, Anodot is leveraging its platform to keep its employees and the public updated on the pandemic. It has created an online tracker that can monitor cases and also provide updates to users when a region’s case count has changed drastically. Avaamo is a developer of an enterprise conversational artificial intelligence platform designed to reinvent the way people communicate, transact and work. The company’s platform combines artificial intelligence, machine learning, conversation design and integration with legacy enterprise workflows, enabling enterprises to simplify the time needed to design and deploy enterprise bots or virtual assistants to employees and customers. Avaamo has deployed conversational AI for healthcare in the UCHealth healthcare system. Its platform can assist with the tools and platforms hospitals will need to quickly adapt to care for the higher volume of patients as a result of COVID-19. Its platform allows hospitals to respond to patient questions as well as community questions and needs (i.e., where to get tested, questions about symptoms). Cloudleaf provides end-to-end solutions for supply chain visibility enabling real-time decisions. The company’s Digital Visibility Platform combines the power of the internet of things (IoT), AI/ML and cloud computing to address use cases such as asset tracking, cold chain management and condition monitoring. This enables visibility and analytics across multiparty supply chains from raw materials to manufacturing to finished product delivery and all the transportation steps in between. Cloudleaf provides continuous visibility into the context, condition, timing and location of material and assets throughout the supply chain. For pharma products, products with cold chain compliance and high-urgency items where supply chain tracking is critical, Cloudleaf’s predictive capabilities, product tracking and alerts can help ensure supply chain performance. DataRobot was founded in 2012 under the belief that artificial intelligence is the defining innovation of our time and will fundamentally reshape our future. Today, DataRobot is one of the leading platforms for enterprise AI, partnering with government, commercial and nonprofit organizations around the world to deliver value from data at scale. The DataRobot platform democratizes data science for all users with end-to-end automation for building, deploying and managing machine learning models. DataRobot’s enterprise AI platform has developed models to predict which U.S. counties are likely to have their first confirmed COVID-19 cases in the next five days. DataRobot is providing its services pro bono to help with the response to the COVID-19 virus. DataRobot’s COVID-19 response program provides free access to DataRobot’s automated machine learning and Paxata data preparation solutions to those participating in the Kaggle competition sponsored by the White House Office of Science and Technology Policy for COVID-19-related research. The DataRobot enterprise AI platform can deliver production-ready machine learning models and enable customers to deploy, monitor and manage them at scale. Duality is a developer of a data collaboration solution designed to protect privacy, intellectual property and regulation compliance. The company’s platform enables users to apply artificial intelligence and advanced analytics on sensitive digital assets without revealing the actual data, even when analyzed by partners and third parties. It provides data owners full control over the use of their data, enabling organizations to collaborate without compromising on security, privacy or trust. With Duality SecurePlus™ Query, health authorities can perform effective contact tracing by querying third-party location data providers – like technology or telecommunications companies – to discover individuals who may have been exposed to COVID-19. Because both the queries and the results are always encrypted, personally identifiable information of both sick and exposed individuals remain protected from view by location data providers. It can also prevent healthcare authorities from needing to be exposed to location information pertaining to non-infected and unexposed individuals. EchoPixel combines augmented reality (AR) and artificial intelligence to help physicians simplify diagnosis and procedures by providing an interactive 3D holographic experience. When clinical teams work with patient-specific anatomy in an open 3D space, it gives them smart insights into a patient’s unique challenges and treatment opportunities. This enables them to achieve improved clinical outcomes and improved operational efficiency. The solution is deployed in over 30 hospitals worldwide.

  EchoPixel’s technology has the potential to enhance the diagnostic process by facilitating understanding of the extent of lung damage related to COVID-19. Once lung damage is present, patients may need to undergo surgical procedures, such as VATS (video-assisted thoracic surgery) where True3D can help physician teams perform surgeries with less risk and a more predictable outcome. Healx is an artificial intelligence-powered and patient-inspired technology company, accelerating the discovery and development of rare disease treatments. Its AI drug discovery platform leverages public and proprietary biomedical data, and features the world’s leading knowledge graph for rare diseases. Combining its technology with patient insights and drug discovery expertise, Healx is positioned to make a contribution to the global effort to combat COVID-19. Combination therapies are particularly difficult to discover. To uncover potential combination

treatments for COVID-19 requires detailed analysis of the 8 million possible pairs and

10.5 billion drug triples stemming from the 4,000 approved drugs on the market. Healx’s AI platform, Healnet, overcomes this challenge by integrating and analyzing biomedical data from multiple sources to predict those combination therapies most likely to succeed in the clinic. Healnet is widely regarded as the world’s most efficient and comprehensive for rare diseases. K4Connect is a mission-driven company creating solutions that serve older adults and those living with disabilities. The company’s solutions are built upon FusionOS (“the operating system for where you live”), a patented software and IoT integration platform employing an edge-cloud hybrid architecture designed to be open, modular and scalable. The company’s first solution, K4Community, is specifically designed for the residents, staff and operators of senior living communities. For residents, K4Community integrates the best in smart home products, connected wellness devices and social engagement technologies, while staff is able to monitor and manage these functions using K4Community’s next-generation enterprise management system. The company has also pre-announced plans to introduce the K4Community solution, K4HomeCare, for seniors living at home and their family caregivers. K4Connect provides an integrated resident application and voice technologies that enable residents to communicate with family and friends via video conferencing, messaging and voice capabilities; staff and family to monitor that residents are safe by using in-residence sensors; residents to report health measurements using connected health devices; staff and residents to stay connected even when isolated; residents and families to view the latest updates including notices and community updates; and staff to monitor analytics that take data from sensors/devices and automate actions using machine learning techniques (recognizing patterns that might trigger wellness concerns). Compared to disparate applications and technologies and their siloed data, the K4Community system can wrap all these devices, technologies and services into a single system for the residents (app and voice), with the associated data and communication capability, all of which is visible to the staff via an integrated dashboard. As K4Community is a software “operating system” for the community, the company integrates the best in technology (devices, application, services, systems) from others. The company currently serves over 30,000 residents and is expanding rapidly as senior communities look to expand their use of technology. Founded in 2010, Medical Informatics Corp. is setting a new standard of care founded on software-based patient monitoring, real-time predictive analytics and patient-centered healthcare. The company’s FDA-cleared Sickbay™️ clinical surveillance and analytics platform created for ICUs unlocks and processes all patient data that is currently thrown away, specifically, the 800,000 samples an hour of waveform monitoring data from disparate critical care bedside devices. Medical Informatics Corp.’s platform assists with the tools and platforms hospitals will need to quickly care for and monitor the increased volumes of patients given COVID-19 (critical patient care, remote patient care). Its platform can unlock data for remote monitoring, waveform integration, predictive medicine and risk stratification. It is also an FDA-cleared software-based monitoring and analytics platform. Mesmer, the leader in RPA in Development (RPAD), uses artificial intelligence-powered bots to speed up software development. Engineers offload time-consuming tasks to bots, starting with mobile app testing. Deep learning automation (DLA) enables bots to autonomously interact with mobile applications to find customer experience bugs. The result is faster releases, happier engineers and higher customer satisfaction. Mesmer is headquartered in Palo Alto, Calif. The Mesmer team expects a spike in usage of telemedicine apps, which historically have not been stress-tested. Teams will be under pressure to add new features and fix bugs, but may not have the time to add resources to the team. As a result, Mesmer announced that it would offer free mobile app customer experience testing to telehealth apps for the duration of the COVID-19 crisis. Mesmer’s software robots can help these teams deliver more features faster, and, more important, help them service at least 1 million patients remotely. Reveal Biosciences is creating artificial intelligence technologies for the analysis of whole-slide pathology images that can increase accuracy, reproducibility and scale. Reveal Biosciences’ platform can help in the analysis of biopsies by pathologists in a remote setting during the COVID -19 crisis. It can also aid in the quantitative analysis of pathology slides for COVID-19 therapies using repurposed molecules. Sprinklr is the world’s leading Customer Experience Management (CXM) platform, providing enterprise software that helps organizations reach, engage and listen to customers across 36 modern social and messaging channels. Founded in 2009, the company has grown to 1,800 employees globally, supporting more than 1,000 of the world’s largest and most valuable brands – from Philips to McDonald’s to Microsoft. When it became clear COVID-19 would impact every business, Sprinklr quickly made listening dashboards available to each of its customers, giving them a way to make sense of conversations taking place on social channels like Twitter. Sprinklr also adapted its existing capabilities for the public sector, working with the World Health Organization to power its COVID-19 dashboard and Messenger chatbot, as well as several U.S. states to help them understand the specific issues residents are talking about and grappling with (e.g., “can’t pay rent”, “can’t get tested”). Sprinklr is also guiding organizations as they transition from phone-based call centers to remote customer care centers – leveraging social and messaging channels to respond faster, deliver a better customer experience and reduce cost. Synthego is a genome engineering company that enables the acceleration of life science research and development by leveraging machine learning, automation and gene editing to build platforms for science at scale. The company recently launched multiple genome engineering tools that can enhance COVID-19 research and development effectiveness by providing scientists with agile CRISPR-based technology to enable more rapid research and development of COVID-19 diagnostics, therapeutics and vaccine. VeriSIM Life is a developer of disease-specific simulation models that have the goal of replacing animal drug testing by using artificial intelligence. The company’s models use intelligence-driven biosystem simulations to truly personalize patient treatment, enabling pharmaceutical scientists to improve the accuracy and efficiency of drug development and make personalized healthcare a reality. VeriSIM Life has a modeling platform to help pharma and biotech speed up and drive efficient pre-clinical testing without compromising on accuracy. This platform could be used to test safety and efficacy of vaccine or drugs (small molecule or antibody) development against COVID-19.

 

Some of the statements in this article may be forward-looking statements or statements of future expectations based on currently available information. Statements were provided by the companies mentioned in the article. Such statements are naturally subject to risks and uncertainties. Actual results may be materially different from those anticipated by such statements. Neither Intel Capital nor any of the companies mentioned in this article (including their respective affiliates) will be liable for any decision made or action taken in conjunction with the information and/or statements in this article or for any related damages.

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