Intel Reaches 1 Billion Gallons of Water Restored

Produits Intel - mer, 22/04/2020 - 15:00

By Todd Brady

The current situation in the world is unprecedented. Nearly every person on the planet is impacted in some way by the coronavirus and we are working together to combat it – individuals, businesses, governments and nonprofits. As someone who focuses every day in my role at Intel working on collective challenges like climate change and water scarcity, it is a dramatic example of the power of coming together to solve problems — whether acting at the community level or collaborating in global policy.

More: Using Artificial Intelligence to Save Coral Reefs

At Intel, we have long believed that climate change is a serious environmental, economic and social challenge that warrants an equally serious response by governments and the private sector. While it may not be experienced with the intense immediacy of a global pandemic, climate change is increasingly impacting all of us. The United Nations reports that one of the ways we’re experiencing climate change is through water, which has led to unpredictable supply, increased floods, prolonged droughts, impaired quality and depleted sources. More than 2 billion people live in places experiencing high water stress, resulting in food insecurity and limited access to clean water and sanitation.

Intel has focused on water conservation within our operations for decades. But in 2017, we took that commitment further, announcing our goal to restore 100% of our global water use. I’m proud to announce today – on Earth Day – that the projects we’ve supported have restored approximately 1 billion gallons of water to our local watersheds in the U.S. over the past two years. That’s enough water to support more than 9,000 U.S. homes for a year.

Our water management practices enable us to return 80% of the water we use back to our communities each year. The remaining 20% of our water use is consumed through evaporation or taken up by plants in irrigation. To advance our goal, we have funded 24 water restoration projects benefiting watersheds in Arizona, California, Oregon and New Mexico in the U.S. And we recently announced our first international project in Bengaluru, India. The projects are implemented with nonprofit partners, such as The Nature Conservancy, Trout Unlimited and National Forest Foundation, and include crop conversion, invasive species removal, irrigation improvements, stream and lake restoration, and much more.

Thirteen projects are actively restoring water. The remaining projects are in progress and will begin restoring water after completion in the next one to two years. These and future projects will restore an equivalent amount of water to what we consume, bringing the 80% up to 100% of our global water use that is returned or restored.

Conserving water within our operations will always be important, though it will never be enough. We call on other companies to join us in funding water restoration initiatives with the community leaders advancing this critical work. Life is about moving forward, always striving to improve – for Intel, that means not settling for what we have already achieved, but daring to dream bigger.

To learn more about the projects we are supporting and progress toward our goal, visit

Todd Brady is the senior director of Global Public Affairs and Sustainability at Intel Corporation.

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Using Artificial Intelligence to Save Coral Reefs

Produits Intel - mer, 22/04/2020 - 06:01

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What’s New: Today, on Earth Day 2020, Accenture, Intel and the Sulubaaï Environmental Foundation announced Project: CORaiL, an artificial intelligence (AI)-powered solution to monitor, characterize and analyze coral reef resiliency. Project: CORaiL was deployed in May 2019 to the reef surrounding Pangatalan Island in the Philippines and has collected about 40,000 images, which have been used by researchers to gauge reef health in real time.

“Project: CORaiL is an incredible example of how AI and edge technology can be used to assist researchers with monitoring and restoring the coral reef. We are very proud to partner with Accenture and the Sulubaaï Environmental Foundation on this important effort to protect our planet.”
–Rose Schooler, Intel corporate vice president in the Sales and Marketing Group

Why It Matters: Coral reefs are among the world’s most diverse ecosystems, with more than 800 species of corals providing habitat and shelter for approximately 25% of global marine life. Coral reefs are also extremely beneficial to humans: They protect coastlines from tropical storms, provide food and income for 1 billion people, and generate $9.6 billion in tourism and recreation each year. But according to the United Nations Environment Programme, coral reefs are endangered and rapidly degrading due to overfishing, bottom trawling, warming temperatures and unsustainable coastal development.

“Artificial intelligence provides unprecedented opportunities to solve some of society’s most vexing problems,” said Jason Mitchell, a managing director in Accenture’s Communications, Media & Technology practice. “Our ecosystem of corporate and social partners for this ‘AI for social good’ project proves that there is strength in numbers to make a positive environmental impact.”

How It Works: The abundance and diversity of fish serve as an important indicator of overall reef health. Traditional coral reef monitoring efforts involve human divers either directly collecting data underwater or manually capturing video footage and photos of the reef to be analyzed later. Those methods are widely trusted and employed, but they come with disadvantages: Divers can interfere with wildlife behavior and unintentionally affect survey results, and time underwater is limited as divers can often only take photos and video for around 30 minutes.

Engineers from Accenture, Sulubaaï and Intel combined their expertise for Project: CORaiL with the goal of helping researchers restore and supplement the existing degraded reef in the Philippines. First, they built a Sulu-Reef Prosthesis, a concrete underwater platform designed by Sulubaaï to provide strong support for unstable coral fragments. The Sulu-Reef Prosthesis incorporates fragments of living coral within it that will grow and expand, providing a hybrid habitat for fish and marine life. Then, they strategically placed intelligent underwater video cameras, equipped with the Accenture Applied Intelligence Video Analytics Services Platform (VASP) to detect and photograph fish as they pass. VASP uses AI to count and classify the marine life, with the data then sent to a surface dashboard, where it provides analytics and trends to researchers in real time, enabling them to make data-driven decisions to protect the coral reef.

“The value of your data depends on how quickly you can glean insights to make decisions from it,” said Athina Kanioura, Accenture’s chief analytics officer and Accenture Applied Intelligence lead. “With the ability to do real-time analysis on streaming video, VASP enables us to tap into a rich data source — in effect doing ‘hands on’ monitoring without disrupting the underwater environment.”

Accenture’s VASP solution is powered by Intel® Xeon® processors, Intel® FPGA Programmable Acceleration Cards, Intel® Movidius™ VPU and the Intel® Distribution of OpenVINO™ toolkit.

What’s Next: Engineers are at work on the next-generation Project: CORaiL prototype, which will include an optimized convolutional neural network and a backup power supply. They are also considering infrared cameras, which enable nighttime video capture to create a complete picture of the coral ecosystem. Additional uses could include studying the migration rate of tropical fish to colder waters and monitoring intrusion in protected or restricted underwater areas.

More Context: Intel FPGA Acceleration Hub | Artificial Intelligence at Intel | Intel Reaches 1 Billion Gallons of Water Restored

More Customer Stories: Intel Customer Spotlight on | Customer Stories on Intel Newsroom

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Building an Intel NUC 9 Extreme Kit

Produits Intel - jeu, 16/04/2020 - 23:00

The Intel® NUC 9 Extreme Kit is a new innovative modular form factor that gives consumers the ability to experience portable desktop performance in a small form factor. It is the first Intel NUC for gamers to support a 9th Gen Intel® Core™ i9 processor, an upgradeable Compute Element and a discrete dual-slot graphics card as large as 8 inches. The Intel NUC 9 Extreme Kit is built in a 5-liter chassis, making it one of the smallest gaming systems to support desktop-level discrete graphics.

Intel NUC Compute Elements incorporate an Intel processor, memory, connectivity and other components. This approach enables an industry standard for modular computing utilizing Intel® Architecture and standard computing technologies and interfaces.

More: All Intel Images

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Intel and Udacity Launch New Edge AI Program to Train 1 Million Developers

Produits Intel - jeu, 16/04/2020 - 15:00

What’s New: Today, Intel and Udacity announced the new Intel® Edge AI for IoT Developers Nanodegree Program to train the developer community in deep learning and computer vision, which will accelerate the development and deployment of artificial intelligence (AI) models at the edge by leveraging the Intel® Distribution of OpenVINO™ toolkit. Students who successfully complete the nanodegree program, estimated to take about three months, will receive a Udacity graduation certificate.

“Historically, students have learned how to build and deploy deep learning models for the cloud. With Udacity, we are training AI developers to go where the data is generated in the physical world: the edge. Optimizing direct deployment of models on edge devices requires knowledge of unique constraints like power, network bandwidth and latency, varying compute architectures and more. The skills this course delivers will allow developers – and companies that hire them – to implement learnings on real-world applications across a variety of fields.”
–Jonathan Ballon, Intel vice president and general manager, Internet of Things Group

Why It Matters: As industries like manufacturing, retail, healthcare and others increasingly develop computer vision and AI at the edge solutions for accurate and real-time insights, making sure the workforce has relevant skills to address the demands of these industries has become imperative. While the global edge computing market is forecast to reach $1.12 trillion by 2023, expanding at a compound annual growth rate of 32.6%, the workforce is not equipped to address industry demands.

“This program is part of Udacity’s commitment to provide training for 1 million developers worldwide,” said Gabe Dalporto, CEO of Udacity. “Our collaboration with Intel will open the doors for students to learn deployment of cutting-edge AI technologies at the edge and aid those with limited access to educational resources to grow in their fields.”

How It Works: To address the growing skills gap, Intel collaborated with Udacity to create the Intel Edge AI for IoT Developers Nanodegree Program. Students will have the opportunity to complete three real-world projects, each reviewed and approved by Udacity’s reviewer network. Students who successfully complete the nanodegree program will receive a certification from Udacity and have a practitioner-level skill set in delivering AI at the edge.

For those unable to commit to the full nanodegree program, the Intel® Edge AI Fundamentals with OpenVINO™ course includes a free subset of the content from the program. This course does not include projects or technical mentor support, but it offers in-depth knowledge on how to develop AI solutions for the edge.

About Scholarships for the Intel Edge AI for IoT Developers Nanodegree Program: In November, Intel and Udacity launched the Intel Edge AI Fundamentals Course. The top 850 students who completed the 2.5-month fundamentals course were today awarded nanodegree scholarships. Twenty-five of the scholarship winners were from Women Who Code’s Portland, Oregon, chapter.

About the Intel Edge AI for IoT Developers Nanodegree Program: The nanodegree program will introduce students to the Intel OpenVINO toolkit, which allows developers to deploy pre-trained deep learning models through a high-level C++ or Python inference engine API integrated with application logic. Based on convolutional neural networks, the OpenVINO toolkit allows graduates to maximize application performance across a range of heterogeneous Intel architectures to deliver fast, efficient deep learning workloads. Anyone working for a company can also take advantage of Intel DevCloud for the Edge to develop, test and run their workloads on a cluster of the latest Intel hardware and software.

Students can sign up for the course via Udacity.

More Context: Intel® Edge AI Scholarship Program | The Intel Edge AI for IoT Developers Nanodegree Program Now Open for Enrollment (Udacity Blog) | Intel’s Edge AI OpenVINO (Part 1) (Blog) | Udacity Intel Edge AI Scholars 2k20 (Blog Series)

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Intel and QuTech Demonstrate High-Fidelity ‘Hot’ Qubits for Practical Quantum Systems

Produits Intel - mer, 15/04/2020 - 17:00
Intel Corporation has invented a spin qubit fabrication flow on its 300 mm process technology using isotopically pure wafers like this one. (Credit: Walden Kirsch/Intel Corporation)
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What’s New: Intel, in collaboration with QuTech, today published a paper in Nature demonstrating the successful control of “hot” qubits, the fundamental unit of quantum computing, at temperatures greater than 1 kelvin. The research also highlighted individual coherent control of two qubits with single-qubit fidelities of up to 99.3%. These breakthroughs highlight the potential for cryogenic controls of a future quantum system and silicon spin qubits, which closely resemble a single electron transistor, to come together in an integrated package.

“This research represents a meaningful advancement in our research into silicon spin qubits, which we believe are promising candidates for powering commercial-scale quantum systems, given their resemblance to transistors that Intel has been manufacturing for more than 50 years. Our demonstration of hot qubits that can operate at higher temperatures while maintaining high fidelity paves the way to allow a variety of local qubit control options without impacting qubit performance.”
–Jim Clarke, director of quantum hardware, Intel Labs

Why It’s Important: Applying quantum computing to practical problems hinges on the ability to scale to and control thousands – if not millions – of qubits at the same time with high levels of fidelity. However, current quantum systems designs are limited by overall system size, qubit fidelity and especially the complexity of control electronics required to manage the quantum at large scale.

Having the control electronics and spin qubits integrated on the same chip greatly simplifies the interconnects between the two. But increasing the temperatures at which the qubits can operate is critical to advancing that goal. Previously, a quantum computer was only proven to operate in the millikelvin range – just a fraction of a degree above absolute zero. Now, with this research into hot qubits, QuTech – in partnership with Intel – has proven its hypothesis that silicon spin qubits have the potential to operate at slightly higher temperatures than current quantum systems, achieving just one step towards scalability.

The approach enables Intel to leverage its expertise in advanced packaging and interconnect technologies for a scalable path forward toward quantum practicality.   This research builds on Intel’s ongoing work in advancing the development of full-stack quantum systems, including the introduction late last year of the first-of-its-kind Horse Ridge cryogenic quantum control chip.

About Key Featured Breakthroughs: Quantum information stored in such qubits is normally quickly lost unless the qubits are cooled to near absolute zero (-273 degrees Celsius or 0 kelvin). In research highlighted in Nature, Intel and QuTech have for the first time demonstrated the operation of qubits that are hot, dense and coherent. These compact qubits function at high quality and at relatively high temperatures.

While single-qubit control above 1 K with silicon quantum dots is demonstrated simultaneously with this work, control of two qubits was only achievable until now at a reduced temperature of 40 millikelvins. Intel’s research with QuTech shows full two-qubit logic in a quantum circuit operating at 1.1 K.

Through this research, Intel and QuTech have also demonstrated the ability to control the electron spin of a two-qubit system measuring single-qubit fidelities of up to 99.3% and accurate tunability of the system. Further, the team has illustrated that performance of spin qubits is minimally affected in the temperature ranges of 45 millikelvin to 1.25 kelvin.

More Context: Quantum Computing at Intel | Intel Labs | Hot, dense and coherent: scalable quantum bits operate under practical conditions (QuTech News Release)

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Intel Ignite Selects Next 10 Game-Changing Companies for Startup Growth Program, Moves Program Online

Produits Intel - mar, 14/04/2020 - 15:00

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TEL AVIV, Israel, April 14, 2020 – Intel Ignite, Intel’s startup growth program in Israel, today announced the 10 startups selected for its second cohort, which is scheduled to begin April 19. In response to the coronavirus, Intel Ignite also announced that the program will be conducted entirely online until people can safely return to work.

Choosing from more than 200 applicants, 70 startups were interviewed for two to three hours each. Sixteen were shortlisted, with 10 startups ultimately selected. More than 50 Intel executives and technical leaders, top venture capitalists (VCs), entrepreneurs and ecosystem influencers helped with the interviews and final selection.

More: Intel Announces Program for Israeli Startups Targeting Tech Inflections

During the 12-week program, each startup will be assigned an industry mentor, with whom it will conduct weekly virtual meetings. The virtual program will include sales and marketing workshops, culture and team building, networking, and coaching sessions with industry experts, including sessions on how to work through challenging economic situations. The mentor entrepreneurs will speak to the startups about crisis management and their takeaways for successfully managing and building companies regardless of the challenges.

The new cohort consists of a range of seed startups, each with an average funding of more than $5 million. The companies in the second cohort are:

  • Aspecto helps development teams solve production issues before they evolve, using deep API analysis. The company’s approach is to automate tasks based on real production data.
  • Chain Reaction enables enterprise blockchain adoption by solving the scale and security barriers. Its cloud-based hardware infrastructure enables enterprise-grade privacy-enabled blockchain systems.
  • ClassiQ tackles the most urgent and complex challenges in quantum computing development. The company bridges the gap between complex quantum logic and real-world applications.
  • Compira Labs leverages next-generation congestion control and machine learning to prevent poor quality video streaming. The technology is used by content distribution networks and over-the-top video providers.
  • Deepchecks monitors artificial intelligence (AI) systems, helping organizations with various aspects of controlling their AI systems, including monitoring, predicting failures and identifying root cause issues.
  • Hyro creates plug-and-play conversational AI assistants for enterprises by seamlessly consolidating information on their websites and databases without the use of any integrations, playbooks or training data from customers.
  • Indoor Robotics developed an autonomous platform for indoor navigation and operation of robots. Its holistic solution performs active monitoring on the premises for early detection of hazards. A cloud-based AI anomaly detection software provides further analysis of events.
  • OneView allows scalable and efficient analysis of satellite imagery by utilizing virtual synthetic data optimized for machine learning algorithm training.
  • Shopic created the world’s first frictionless checkout platform using AI, which fits medium to large grocery stores. It provides line-free checkout, while eliminating incidents of fraud and increasing sales. Its platform also collects advanced analytics for retailers, providing information on stock levels, missing items and more.
  • Valid Networks blends the best practices of traditional application security in dApps software development. Its proprietary technology utilizes advanced machine learning algorithms and code verification techniques.

“We are very excited to have such an incredible group of startups participating in our second cohort,” said Tzahi (Zack) Weisfeld, Intel Ignite general manager. “The global situation is confronting us with a new reality, and we are looking to help startups overcome their challenges. Startups are in real need for experienced advice and guidance. This is the time to do everything in our power to help them.”

About Intel Ignite

Intel® Ignite is a 12-week program for 10 diverse and impressive early-stage startups that will receive hands-on mentorship from Intel and world-leading experts. The companies will gain access to technology and business leaders, a preferred path to the best investors, as well as the knowledge, resources, and association that comes with being accepted into one of the world’s most challenging and competitive startup programs. For information, visit

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Intel Joins Georgia Tech in DARPA Program to Mitigate Machine Learning Deception Attacks

Produits Intel - jeu, 09/04/2020 - 17:00
Intel Labs members demonstrate an example of artificial intelligence becoming confused by an adversarial T-shirt. (Credit: Intel Corporation)

What’s New: Intel and the Georgia Institute of Technology (Georgia Tech) announced today that they have been selected to lead a Guaranteeing Artificial Intelligence (AI) Robustness against Deception (GARD) program team for the Defense Advanced Research Projects Agency (DARPA). Intel is the prime contractor in this four-year, multimillion-dollar joint effort to improve cybersecurity defenses against deception attacks on machine learning (ML) models.

“Intel and Georgia Tech are working together to advance the ecosystem’s collective understanding of and ability to mitigate against AI and ML vulnerabilities. Through innovative research in coherence techniques, we are collaborating on an approach to enhance object detection and to improve the ability for AI and ML to respond to adversarial attacks.”
–Jason Martin, principal engineer at Intel Labs and principal investigator for the DARPA GARD program from Intel

Why It Matters: While rare, adversarial attacks attempt to deceive, alter or corrupt the ML algorithm interpretation of data. As AI and ML models are increasingly incorporated into semi-autonomous and autonomous systems, it is critical to continuously improve the stability, safety and security of unexpected or deceptive interactions. For example, AI misclassifications and misinterpretations at the pixel level could lead to image misinterpretation and mislabeling scenarios, or subtle modifications to real-world objects could confuse AI perception systems. GARD will help AI and ML technologies become better equipped to defend against potential future attacks.

The Details: Current defense efforts are designed to protect against specific pre-defined adversarial attacks, but remain vulnerable to attacks when tested outside their specified design parameters. GARD intends to approach ML defense differently – by developing broad-based defenses that address the numerous possible attacks in given scenarios that could cause an ML model to misclassify or misinterpret data. Due to its broad architectural footprint and security leadership, Intel is uniquely positioned to help drive innovations in AI and ML technology with a significant stake in the outcome.

The goal of the GARD program is to establish theoretical ML system foundations that will not only identify system vulnerabilities and characterize properties to enhance system robustness, but also promote the creation of effective defenses. Through these program elements, GARD aims to create deception-resistant ML technologies with stringent criteria for evaluating their effectiveness.

What’s Next: In the first phase of GARD, Intel and Georgia Tech are enhancing object detection technologies through spatial, temporal and semantic coherence for both still images and videos. Intel is committed to driving AI and ML innovation and believes that working with skilled security researchers across the globe is a crucial part of addressing potential security vulnerabilities for the broader industry and our customers.

More Context: Defending Against Adversarial Artificial Intelligence (DARPA Website) | Artificial Intelligence at Intel

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Intel Commits $50 Million with Pandemic Response Technology Initiative to Combat Coronavirus

Produits Intel - mar, 07/04/2020 - 15:00

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What’s New: Today, Intel is pledging an additional $50 million in a pandemic response technology initiative to combat the coronavirus through accelerating access to technology at the point of patient care, speeding scientific research and ensuring access to online learning for students. Included in Intel’s effort is an additional innovation fund for requests where access to Intel expertise and resources can have immediate impact. This is in addition to prior announcements of $10 million in donations that are supporting local communities during this critical time.

The world faces an enormous challenge in fighting COVID-19. Intel is committed to accelerating access to technology that can combat the current pandemic and enable new technology and scientific discovery that better prepares society for future crises. We hope that by sharing our expertise, resources and technology, we can help to accelerate work that saves lives and expands access to critical services around the world during this challenging time.”
–Bob Swan, Intel chief executive officer

What It Funds: Approximately $40 million will fund the Intel COVID-19 Response and Readiness and Online Learning initiatives. The Intel COVID-19 Response and Readiness Initiative will provide funding to accelerate customer and partner advances in diagnosis, treatment and vaccine development, leveraging technologies such as artificial intelligence (AI), high-performance computing and edge-to-cloud service delivery. Through the initiative, Intel will help healthcare and life sciences manufacturers increase the availability of technology and solutions used by hospitals to diagnose and treat COVID-19. It will also support the creation of industry alliances that accelerate worldwide capacity, capability and policy to respond to this and future pandemics, building on Intel’s own experience in driving technology innovation in the health and life sciences arena.

The Intel Online Learning Initiative will support education-focused nonprofit organizations and business partners to provide students without access to technology with devices and online learning resources. In close partnership with public school districts, the initiative will enable PC donations, online virtual resources, study-at-home guides and device connectivity assistance. The Intel Online Learning Initiative builds on Intel’s long-standing commitment to technology that improves learning. It will begin immediately in regions with the greatest needs across the United States and expand globally.

The company has also allocated up to $10 million for an innovation fund that supports requests from external partners and employee-led relief projects, addressing critical needs in their communities. For example:

  • Intel is working with India’s Council of Scientific and Industrial Research and International Institute of Information Technology, Hyderabad, to deploy Intel client and server solutions to help achieve faster and less expensive COVID-19 testing and coronavirus genome sequencing to understand epidemiology and AI-based risk stratification for patients with comorbidities. Intel is also collaborating with India’s National Association of Software and Service Companies to build an application ecosystem and multicloud back end to enable population-scale COVID-19 diagnostics, to predict outbreaks and to improve medical care management and administration. Infographic: India’s Council of Scientific and Industrial Research and International Institute of Information Technology Collaboration
  • Medical Informatics Corp.’s (MIC) Sickbay™ platform, powered by Intel technology, is a solution that can turn beds into virtual ICU beds in minutes, help protect critical care workers from risk of exposure with clinical distancing and expand their care capacity  Weeks ago, Houston Methodist Hospital deployed Sickbay for its vICU and was able to leverage it within one day to support monitoring of its COVID-19 patients and enable their care providers to monitor patients virtually without risking exposure in ICU rooms. Videos: Houston Methodist: Virtual ICU | Houston Methodist Deploys Medical Informatics Corp.’s Sickbay Platform (B-Roll)
  • In the U.K., Intel is working with Dyson and medical consultancy firm TTP to supply FPGAs for CoVent, a new ventilator specifically designed in response to the U.K. government’s request for help. The ventilator is pending regulatory approval and is designed to be bed-mounted.

Why It Matters: Intel technology underpins critical products and services that global communities, governments and healthcare organizations depend on every day. We hope that by harnessing our expertise, resources, technology and talents, we can help save and enrich lives by solving the world’s greatest challenges through the creation and development of new technology-based innovations and approaches.

Coronavirus Relief to Date: This technology response initiative builds on Intel’s prior announcements of $10 million in donations that are supporting local communities during this critical time. Those donations include 1 million gloves, masks and other equipment for healthcare workers, $6 million from the Intel Foundation toward relief efforts in local communities and $4 million from Intel and its subsidiaries around the globe.

Additional Technology Efforts: As previously announced, Intel and Lenovo have teamed up with Beijing-based BGI Genomics to accelerate the analysis of genomic characteristics of COVID-19. Intel has also joined the global XPRIZE Pandemic Alliance along with other companies to fuel collaboration on solutions through shared innovation to effectively address the immediate needs of the crisis.

How You Can Learn More and Get Involved: Intel COVID-19 Response Website

More Context: Intel Response to COVID-19 Crisis (Press Kit)

» Click for full infographic

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10th Gen Intel Core H-series Introduces the World’s Fastest Mobile Processor at 5.3 GHz

Produits Intel - jeu, 02/04/2020 - 09:01

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What’s New: Today, Intel breaks beyond the 5 GHz barrier for laptops with the launch of the 10th Gen Intel® Core™ H-series mobile processors. Headlined by the 10th Gen Intel Core i9-10980HK1 processor, the H-series delivers desktop-caliber performance that gamers and creators can take anywhere.

“Today’s introduction of the 10th Gen Intel Core H-series mobile platform extends Intel’s gaming leadership, delivering desktop-caliber performance in a mobile form factor and breadth of choice with more than 100 laptop designs launching this year, including more than 30 thin-and-light systems. The new platform is optimized for enthusiasts and creators by delivering the fastest frequency in the industry with 5 GHz across the majority of the volume which will deliver amazing game play and rich creation for users.”
–Fredrik Hamberger, general manager of the premium and gaming laptop segments at Intel

Why It’s Important: Gamers are moving increasingly toward mobile systems and they care about the flexibility of gaming where they want to as much as they do the raw performance of their systems, ranking processor speed in their top three most important features2. Packed with incredible performance typically only available from desktops, 10th Gen Intel Core laptop processors deliver faster performance with up to 5.3 GHz3 Turbo, eight cores and 16 threads to enable immersive gaming experiences with amazing responsiveness and consistent in-game performance. Games and applications continue to depend on high-frequency cores and Intel is pushing the frequency envelope to achieve lower latency and deliver the best PC gaming experience on a laptop.

More about the Fastest Mobile Processor4: At the top of the stack is the 10th Gen Intel Core i9-10980HK, featuring unparalleled performance across the board with up to 5.3 GHz Turbo, eight cores, 16 threads and 16MB of Intel® Smart Cache. The unlocked 10th Gen Intel Core i9-10980HK processor powers the ultimate laptops for gamers and creators, allowing further customization, optimization and tuning of the CPU’s performance.5

Compared with a three-year-old system, the i9-10980HK delivers:

  • Up to 54% more frames per second in gaming6 for even better playability across top titles
  • Up to 44% better overall performance7 for faster, more responsive productivity users can feel
  • Up to two times faster 4K video rendering8 and export9 making it faster and easier to create and share

The 10th Gen Intel Core i7-10750H processor with up to 5.0 GHz3 Turbo is purpose-built for enthusiast gamers and creators demanding optimized performance. Compared with a three-year-old system, i7-10750H delivers:

  • Up to 44% more frames per second in gaming10
  • Up to 33% better overall performance11
  • Up to 70% faster 4K video exporting12

The 10th Gen launch also introduces the new Intel Core i7-10875H, featuring up to 5.1 GHz3 Turbo, eight cores and 16 threads for the growing creator segments, enthusiast  gamers that also enjoy creation, and other demanding multitaskers.

How It is Optimized for Amazing Gaming: Engineered in collaboration with leading PC manufacturers, more than 30 thin-and-light systems measuring 20 mm or less in thickness and 100 designs across consumer, commercial and workstation segments will launch this year. Intel also optimizes laptops with PC-makers to support the latest technologies, including:

  • Integrated Intel® Wi-Fi 6 AX201 (Gig+) supports nearly three times faster downloads13 for high-speed, low-latency wireless performance14
  • Intel® Turbo Boost Max Technology 3.0​
  • Intel® Adaptix™ Dynamic Tuning Technology and Intel® Extreme Tuning Utility for intelligent performance tuning
  • Intel® Speed Optimizer15delivers simple one-click method to overclock1​
  • Thunderbolt™ 3 support with four times more bandwidth than USB 3.1 to move rich media content and connect to two 4K displays with ease
  • Intel® Optane™ memory support16 accelerates game launch and load17

More Context: 10th Gen Intel Core mobile processors: Product Brief | 10th Gen Intel Core Processors – Amazing Gaming Starts With Intel (Press Kit) | Website

The Small Print: 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

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

Your results may vary.

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

1 Warning: Altering PC clock or memory frequency and/or voltage may (i) reduce system stability and use life of the system, memory and processor; (ii) cause the processor and other system components to fail; (iii) cause reductions in system performance; (iv) cause additional heat or other damage; and (v) affect system data integrity. Intel assumes no responsibility that the memory, included if used with altered clock frequencies and/or voltages, will be fit for any particular purpose. Check with memory manufacturer for warranty and additional details.

2 Source: Intel GIA Laptop Buyer Study Q1’20 | Q: Before you purchased this [device], what features were important in deciding which device to buy?

3 Includes the effect of Intel® Thermal Velocity Boost (Intel® TVB), a feature that opportunistically and automatically increases clock frequency above single-core and multi-core Intel® Turbo Boost Technology frequencies based on how much the processor is operating below its maximum temperature and whether turbo power budget is available. The frequency gain and duration is dependent on the workload, capabilities of the processor and the processor cooling solution.

4 Based on Intel® Core™ i9-10980HK’s highest achievable max turbo frequency of 5.3GHz, exceeding all other mobile products available as of April 2020.  Includes use of Intel® Thermal Velocity Boost.   User experience varies with workload

5 (Unlocked) Altering clock frequency or voltage may damage or reduce the useful life of the processor and other system components, and may reduce system stability and performance.  Product warranties may not apply if the processor is operated beyond its specifications.  Check with the manufacturers of system and components for additional details

6 As measured by Red Dead Redemption 2 on Intel® Core™ i9-10980HK vs. Intel® Core™ i7-7920HQ

7 As measured by SYSMark*2018 on Intel® Core™ i9-10980HK vs. Intel® Core™ i7-7820HK

8 As measured by Blender RUG 1013 on Intel® Core™ i9-10980HK vs. Intel® Core™ i7-7820HK

9 As measured by Power Director 4K video export workload RUG 1006 on Intel® Core™ i9-10980HK vs. Intel® Core™ i7-7820HK

10 As measured by Assassin’s Creed Odyssey on Intel® Core™ i7-10750H vs. Intel® Core™ i7-7700HQ

11 As measured by Power Director 4K video export workload RUG 1006 on Intel® Core™ i7-10750H vs. Intel® Core™ i7-7700HQ

12 As measured by SYSMark*2018 on Intel® Core™ i7-10750H vs. Intel® Core™ i7-7700HQ

13 Nearly 3X Faster:  ~3X Faster: Intel Wi-Fi 6 claims are based on internal Intel testing at 3M distance with Wi-Fi 6 (160MHz) average throughput of 1521Mbps verses 802.11ac (80MHz) average throughput of 541 for an improvement of 2.8X.  Testing at a range of 68M yields a 4.2X improvement from 102Mbps average throughput for 802.11ac (80MHz) to 432Mbps average throughput for Wi-Fi 6 (160MHz). Throughput measured in Intel lab with a Dell* Latitude 5491 running Windows 10* on a rotating table (1 revolution per minute) taking the average throughput over multiple tests. Access points used were Asus* AX88U FW: (Wi-Fi 6) and Asus* AC66U FW:  Wi-Fi 6 improvements requires use of similarly configured Wi-Fi 6 network routers

14 Intel® WiFi 6 AX201 requires specific hardware configurations

15 Features only available on select SKUs

16 As measured by SYSMark*2018 on Intel® Core™ i9-10980HK vs. Intel® Core™ i7-7820HK

17 Intel® Optane™ memory requires specific hardware and software configuration. Visit for configuration requirements.

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Intel CEO Bob Swan’s Annual Letter

Produits Intel - mar, 31/03/2020 - 15:15

Today, Intel published its 2019 Annual Report including CEO Bob Swan’s annual letter.

The post Intel CEO Bob Swan’s Annual Letter appeared first on Intel Newsroom.

Intel Allocates $6 Million for Coronavirus Relief, Builds on Previous Efforts

Produits Intel - jeu, 26/03/2020 - 17:00
The $6 million in additional donations by Intel will support coronavirus relief efforts in areas – like Washington County, Oregon – where the company has significant operations. (Credit: Intel Corporation)

What’s New: The Intel Foundation will provide $4 million to support coronavirus relief efforts in communities where the company has significant presence. The foundation will also offer a special match opportunity for every regular full-time and part-time employee and U.S. retiree to a total of $2 million for relief efforts around major Intel sites.

The Intel Foundation is committed to improving lives around the world and supporting communities during global crises and natural disasters.

Who It Helps: The $4 million donation will be distributed to community foundations and organizations that are focused on food security, shelter, medical equipment and small-business support.

For the matching donations, Intel has identified strategic organizations unique to each major Intel site. Beneficiaries include food banks, school districts and children’s hospitals
– all groups focused on helping local communities manage the impact of the coronavirus pandemic.

Donation areas in the U.S. include Arizona, California, Massachusetts, New Mexico, Oregon and Texas. Internationally, donation areas include Costa Rica, India, Ireland, Israel, Malaysia, Mexico and Vietnam.

How Matching Donations Work: Donations from employees and U.S. retirees will be matched from March 26 to April 10, or until a total of $2 million is reached.

More Context: These efforts build on previously announced support including a donation of 1 million gloves, masks and other equipment to healthcare workers and a $1 million International Red Cross donation Intel committed to in January. Additionally, Intel is applying technology and expertise to help better understand and combat the virus. For example, Intel NUCs are helping in the coronavirus fight, and Intel and Lenovo have teamed up with Beijing-based BGI Genomics to accelerate the analysis of genomic characteristics of COVID-19.

Even More Context: Intel Coronavirus News

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DarwinAI Makes AI Applications More Efficient and Less of a ‘Black Box’ — with Its Own AI

Produits Intel - mar, 24/03/2020 - 17:00
Employees of DarwinAI, an artificial intelligence software startup based in Waterloo, Ontario, gather with company CEO Sheldon Fernandez (seated, center, in the jacket). Credit: DarwinAI

As a student pursuing a doctorate in systems design engineering at the University of Waterloo, Alexander Wong didn’t have enough money for the hardware he needed to run his experiments in computer vision. So he invented a technique to make neural network models smaller and faster.

“He was giving a presentation, and somebody said, ‘Hey, your doctorate work is cool, but you know the real secret sauce is the stuff that you created to do your doctorate work, right?’” recalls Sheldon Fernandez.

Fernandez is the CEO of DarwinAI, the Waterloo, Ontario-based startup now commercializing that secret sauce. Wong is the company’s chief scientist. And Intel is helping the company multiply the performance of its remarkable software, from the data center to edge applications.

“We use other forms of artificial intelligence to probe and understand a neural network in a fundamental way,” says Fernandez, describing DarwinAI’s playbook. “We build up a very sophisticated understanding of it, and then we use AI a second time to generate a new family of neural networks that’s as good as the original, a lot smaller and can be explained.”

That last part is critical: A big challenge with AI, says Fernandez, is that “it’s a black box to its designers.” Without knowing how an AI application functions and makes decisions, developers struggle to improve performance or diagnose problems.

An automotive customer of DarwinAI, for instance, was troubleshooting an automated vehicle with a strange tendency to turn left when the sky was a particular shade of purple. DarwinAI’s solution — which it calls Generative Synthesis — helped the team recognize how the vehicle’s behavior was affected by training for certain turning scenarios that had been conducted in the Nevada desert, coincidentally when the sky was that purple hue (read DarwinAI’s recent deep dive on explainability).

Another way to think about Generative Synthesis, Fernandez explains, is to imagine an AI application that looked at a house designed by a human being, noted the architectural contours, and then designed a completely new one that was stronger and more reliable. “Because it’s AI, it sees efficiencies that would just never occur to a human mind,” Fernandez says. “That’s what we are doing with neural networks.” (A neural network is an approach to break down sophisticated tasks into a large number of simple computations.)

Intel is in the business of making AI not only accessible to everyone, but also faster and easier to use. Through the Intel AI Builders program, Intel has worked with DarwinAI to pair Generative Synthesis with the Intel® Distribution of OpenVINO™ toolkit and other Intel AI software components to achieve order-of-magnitude gains in performance.

In a recent case study, neural networks built using the Generative Synthesis platform coupled with Intel® Optimizations for TensorFlow were able to deliver up to 16.3 times and 9.6 times performance increases on two popular image recognition workloads (ResNet50 and NASNet, respectively) over baseline measurements for an Intel Xeon Platinum 8153 processor.

“Intel and DarwinAI frequently work together to optimize and accelerate artificial intelligence performance on a variety of Intel hardware,” says Wei Li, vice president and general manager of Machine Learning Performance at Intel.

The two companies’ tools are “very complementary,” Fernandez says. “You use our tool and get a really optimized neural network and then you use OpenVINO and the Intel tool sets to actually get it onto a device.”

This combination can deliver AI solutions that are simultaneously compact, accurate and tuned for the device where they are deployed, which is becoming critical with the rise of edge computing.

“AI at the edge is something we’re increasingly seeing,” says Fernandez. “We see the edge being one of the themes that is going to dominate the discussion in the next two, three years.”

In the shadow of coronavirus: Dominating all discussion right now is coronavirus. DarwinAI announced this week that “we have collaborated with researchers at the University of Waterloo’s VIP Lab to develop COVID-Net: a convolutional neural network for COVID-19 detection via chest radiography.” The company has made the source code and dataset available by open source on GitHub. Read about Intel and coronavirus.

More Customer Stories: Intel Customer Spotlight on | Customer Stories on Intel Newsroom

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Intel Donates More Than 1 Million Protective Items for Healthcare Workers in Coronavirus Fight

Produits Intel - mar, 24/03/2020 - 00:50

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In response to the COVID-19 pandemic, Intel announced Monday that it will source and donate more than 1 million items of personal protective equipment – masks, gloves and other gear – to healthcare workers.

More: Intel Response to COVID-19 Crisis

“We will donate masks, gloves, face shields and other gear that we have sourced from our factory stock and emergency supplies, and we’ll continue to look for additional sources of personal protective equipment that we can source and donate as quickly as possible to meet our commitment of more than a million items,” said Todd Brady, director of Global Public Affairs for Intel.

Intel leaders are working with local health authorities and government agencies around the world. In January, Intel announced a $1 million donation to the International Red Cross to support global relief efforts for the coronavirus outbreak. Where possible, current and future donations will be made through local health authorities that can determine the areas of greatest need.

“We are immensely grateful to the healthcare workers who are at the front lines of slowing this pandemic,” Brady said.

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Intel Scales Neuromorphic Research System to 100 Million Neurons

Produits Intel - mer, 18/03/2020 - 16:15

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What’s New: Today, Intel announced the readiness of Pohoiki Springs, its latest and most powerful neuromorphic research system providing the computational capacity of 100 million neurons. The cloud-based system will be made available to members of the Intel Neuromorphic Research Community (INRC), extending their neuromorphic work to solve larger, more complex problems.

“Pohoiki Springs scales up our Loihi neuromorphic research chip by more than 750 times, while operating at a power level of under 500 watts. The system enables our research partners to explore ways to accelerate workloads that run slowly today on conventional architectures, including high-performance computing (HPC) systems.”
–Mike Davies, director of Intel’s Neuromorphic Computing Lab

What It is: Pohoiki Springs is a data center rack-mounted system and is Intel’s largest neuromorphic computing system developed to date. It integrates 768 Loihi neuromorphic research chips inside a chassis the size of five standard servers.

Loihi processors take inspiration from the human brain. Like the brain, Loihi can process certain demanding workloads up to 1,000 times faster and 10,000 times more efficiently than conventional processors. Pohoiki Springs is the next step in scaling this architecture to assess its potential to solve not just artificial intelligence (AI) problems, but a wide range of computationally difficult problems. Intel researchers believe the extreme parallelism and asynchronous signaling of neuromorphic systems may provide significant performance gains at dramatically reduced power levels compared with the most advanced conventional computers available today.

What the Opportunity for Scale is: In the natural world even some of the smallest living organisms can solve remarkably hard computational problems. Many insects, for example, can visually track objects and navigate and avoid obstacles in real time, despite having brains with well under 1 million neurons.

Similarly, Intel’s smallest neuromorphic system, Kapoho Bay, comprises two Loihi chips with 262,000 neurons and supports a variety of real-time edge workloads. Intel and INRC researchers have demonstrated the ability for Loihi to recognize gestures in real time, read braille using novel artificial skin, orient direction using learned visual landmarks and learn new odor patterns
– all while consuming tens of milliwatts of power. These small-scale examples have so far shown excellent scalability, with larger problems running faster and more efficiently on Loihi compared with conventional solutions. This mirrors the scalability of brains found in nature, from insects to human brains.

With 100 million neurons, Pohoiki Springs increases Loihi’s neural capacity to the size of a small mammal brain, a major step on the path to supporting much larger and more sophisticated neuromorphic workloads. The system lays the foundation for an autonomous, connected future, which will require new approaches to real-time, dynamic data processing.

How It will be Used: Intel’s neuromorphic systems, such as Pohoiki Springs, are still in the research phase and are not intended to replace conventional computing systems. Instead, they provide a tool for researchers to develop and characterize new neuro-inspired algorithms for real-time processing, problem solving, adaptation and learning.

INRC members will access and build applications on Pohoiki Springs via the cloud using Intel’s Nx SDK and community-contributed software components.

Examples of promising, highly scalable algorithms being developed for Loihi include:

  • Constraint satisfaction: Constraint satisfaction problems are present everywhere in the real world, from the game of sudoku to airline scheduling, to package delivery planning. They require evaluating a large number of potential solutions to identify the one or few that satisfy specific constraints. Loihi can accelerate such problems by exploring many different solutions in parallel at high speed.
  • Searching graphs and patterns: Every day, people search graph-based data structures to find optimal paths and closely matching patterns, for example to obtain driving directions or to recognize faces. Loihi has shown the ability to rapidly identify the shortest paths in graphs and perform approximate image searches.
  • Optimization problems: Neuromorphic architectures can be programmed so that their dynamic behavior over time mathematically optimizes specific objectives. This behavior may be applied to solve real-world optimization problems, such as maximizing the bandwidth of a wireless communication channel or allocating a stock portfolio to minimize risk at a target rate of return.

About Neuromorphic Computing: Traditional general-purpose processors, like CPUs and GPUs, are particularly skilled at tasks that are difficult for humans, such as highly precise mathematical calculations. But the role and applications of technology are expanding. From automation to AI and beyond, there is a rising need for computers to operate more like humans, processing unstructured and noisy data in real time, while adapting to change. This challenge motivates new and specialized architectures.

Neuromorphic computing is a complete rethinking of computer architecture from the bottom up. The goal is to apply the latest insights from neuroscience to create chips that function less like traditional computers and more like the human brain. Neuromorphic systems replicate the way neurons are organized, communicate and learn at the hardware level. Intel sees Loihi and future neuromorphic processors defining a new model of programmable computing to serve the world’s rising demand for pervasive, intelligent devices.

More Context: Neuromorphic Computing (Press Kit) | Intel Labs (Press Kit)

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How a Computer Chip Can Smell without a Nose

Produits Intel - lun, 16/03/2020 - 18:00
Intel Labs’ Nabil Imam holds a Loihi neuromorphic test chip in his Santa Clara, California, neuromorphic computing lab. He and a research team from Cornell University are building mathematical algorithms on computer chips that mimic what happens in your brain’s neural network when you smell something. (Credit: Walden Kirsch/Intel Corporation)
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Our Expert: Nabil Imam, a senior research scientist in Intel Labs’ neuromorphic computing group, works with olfactory neurophysiologists at Cornell University. “My friends at Cornell study the biological olfactory system in animals and measure the electrical activity in their brains as they smell odors,” explains Imam, who has a doctorate in neuromorphic computing. “On the basis of these circuit diagrams and electrical pulses, we derived a set of algorithms and configured them on neuromorphic silicon, specifically our Loihi test chip.” Loihi is Intel’s neuromorphic computing chip that applies the principles of computation found in biological brains to computer architectures.

More: Computers That Smell: Intel’s Neuromorphic Chip Can Sniff Out Hazardous Chemicals | Video: How Neuromorphic Computing Uses the Human Brain as a Model | Neuromorphic Computing at Intel (Press Kit) | Intel Labs (Press Kit) | Future of Technology series

It’s in the news: Today, Nature Machine Intelligence profiled research by Intel and Cornell University scientists who are building the mathematical algorithms. With researchers’ guidance, Loihi rapidly learned neural representations of 10 different odors.

First, how we smell: If you pick up a grapefruit and take a whiff, that fruit’s molecules stimulate olfactory cells in your nose (the word olfactory originates from Latin’s olfactare, which means “to smell”). The cells in your nose immediately send signals to your brain’s olfactory system where electrical pulses within an interconnected group of neurons generate a smell’s sensation. Whether you’re smelling a grapefruit, a rose or a noxious gas, networks of neurons in your brain create sensations specific to the object. Similarly, your senses of sight and sound, your recall of memory, your emotions, your decision-making each have individual neural networks that compute in particular ways.

Loihi learns to detect distinct odors in complex mixtures: Imam and team took a dataset consisting of the activity of 72 chemical sensors in response to 10 gaseous substances (odors) circulating within a wind tunnel. The sensors’ responses to the individual scents were transmitted to Loihi where silicon circuits mimicked the circuitry of the brain underlying the sense of smell. The chip rapidly learned neural representations of each of the 10 smells, including acetone, ammonia and methane, and identified them even in the presence of strong background interferents. Your smoke and carbon monoxide detectors at home use sensors to detect odors but they cannot distinguish between them; they beep when they detect harmful molecules in the air but are unable to categorize them in intelligent ways.

Future applications: Imam says the chemical-sensing community for years has looked for smart, reliable and fast-responding chemosensory processing systems, otherwise called “electronic nose systems.” He sees the potential of robots equipped with neuromorphic chips for environmental monitoring and hazardous materials detection, or for quality control chores in factories. They could be used for medical diagnoses where some diseases emit particular odors. Another example has neuromorphic-equipped robots better identifying hazardous substances in airport security lines.

Adding more senses in the future: “My next step,” Imam says, “is to generalize this approach to a wider range of problems — from sensory scene analysis (understanding the relationships between objects you observe) to abstract problems like planning and decision-making. Understanding how the brain’s neural circuits solve these complex computational problems will provide important clues for designing efficient and robust machine intelligence.”

Challenges to overcome: There are challenges in olfactory sensing, Imam says. When you walk into a grocery, you might smell a strawberry, but its smell might be similar to that of a blueberry or a banana, which induce very similar neural activity patterns in the brain. Sometimes it’s even hard for humans to distinguish between one fruit from a blend of scents. Systems might get tripped up when they smell a strawberry from Italy and one from California, which might have different aromas, yet need to be grouped into a common category. “These are challenges in olfactory signal recognition that we’re working on and that we hope to solve in the next couple of years before this becomes a product that can solve real-world problems beyond the experimental ones we have demonstrated in the lab,” Imam says. His work, he contends, is a “prime example of contemporary research taking place at the crossroads of neuroscience and artificial intelligence.”

The post How a Computer Chip Can Smell without a Nose appeared first on Intel Newsroom.

Computers That Smell: Intel’s Neuromorphic Chip Can Sniff Out Hazardous Chemicals

Produits Intel - lun, 16/03/2020 - 18:00
A close-up photo shows Loihi, Intel’s neuromorphic research chip. Intel’s latest neuromorphic system, Pohoiki Beach, will be comprised of 64 of these Loihi chips. Pohoiki Beach was introduced in July 2019. (Credit: Tim Herman/Intel Corporation)
» Click for full image

What’s New: In a joint paper published in Nature Machine Intelligence, researchers from Intel Labs and Cornell University demonstrated the ability of Intel’s neuromorphic research chip, Loihi, to learn and recognize hazardous chemicals in the presence of significant noise and occlusion. Loihi learned each odor with just a single sample, without disrupting its memory of previously learned scents. It demonstrated superior recognition accuracy compared with conventional state-of-the-art methods, including a deep learning solution that required 3,000 times more training samples per class to reach the same level of classification accuracy.

“We are developing neural algorithms on Loihi that mimic what happens in your brain when you smell something. This work is a prime example of contemporary research at the crossroads of neuroscience and artificial intelligence and demonstrates Loihi’s potential to provide important sensing capabilities that could benefit various industries.”
–Nabil Imam, senior research scientist in Intel’s Neuromorphic Computing Lab

Intel Labs’ Nabil Imam holds a Loihi neuromorphic test chip in his Santa Clara, California, neuromorphic computing lab. (Credit: Walden Kirsch/Intel Corporation)
» How a Computer Chip Can Smell without a Nose

About the Research: Using a neural algorithm derived from the architecture and dynamics of the brain’s olfactory circuits, researchers from Intel and Cornell trained Intel’s Loihi neuromorphic research chip to learn and recognize the scents of 10 hazardous chemicals. To do so, the team used a dataset consisting of the activity of 72 chemical sensors in response to these smells and configured the circuit diagram of biological olfaction on Loihi. The chip quickly learned the neural representation of each of the smells and recognized each odor, even when significantly occluded, demonstrating a promising future for the intersection of neuroscience and artificial intelligence.

More Context: How a Computer Chip Can Smell Without a Nose | Nature Machine Intelligence | Neuromorphic Computing at Intel | Intel Labs

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Intel Update: Managing the Coronavirus Situation

Produits Intel - ven, 13/03/2020 - 21:14

Intel’s top priority in managing the coronavirus situation is protecting the health and well-being of employees while keeping the business running for our customers. Last week, Intel CFO George Davis addressed the topic at a Morgan Stanley conference, saying that although it remains a developing situation, the company continues to operate on a relatively normal basis around the world, including manufacturing-related operations in Oregon, Arizona, New Mexico and California in the U.S., and in Ireland, Israel and China.

In a message to employees, Intel CEO Bob Swan acknowledged employee efforts to keep the business running for Intel customers, writing:

“We wouldn’t be able to manage this challenging situation effectively without the help of our entire Intel family. Thank you for supporting each other throughout the past few weeks and for being understanding of the unusual demands this situation has placed upon many of our sites and people. We will continue to put our employees’ welfare and customers’ needs front and center in all our decision-making. Thank you for your cooperation and understanding. I am very proud of how we are living our One Intel values.”

More: Intel Response to COVID-19 Crisis

The company has taken the following measures to care for its direct and indirect workforce and to ensure business continuity throughout the developing situation:

  • Work-from-home and social distancing policies: We have recommended our employees work-from-home, if their roles allow. In order to safeguard our manufacturing and other employees that will continue to work on-site, we have instituted social distancing policies. For example, we are reducing the seating capacity in cafeterias and limiting in-person meeting attendance. We first put these policies in place at our sites in China, and they have helped keep our employees safe and our operations running.
  • Keeping hourly workers whole: We are continuing to pay-in-full Intel’s hourly workers. For at least the next two months, this policy also extends to hourly workers employed by Intel service partners around the world, regardless of changes to service levels due to our remote-work and social distancing policies. Please refer to for list of detailed qualified services.
  • Benefits updates: Employees and contractors asked to work from home or self-quarantine due to travel restrictions will be paid their regular pay, and Intel will reimburse up to 15 days of care services for employees who need backup childcare and/or elder care in the case where there are school or care center closures or if an employee or family member is required to be self-quarantined due to the coronavirus outbreak.
  • Increased cleaning of Intel facilities: Intel offices will remain open to support the large number of Intel’s global workforce who work in labs and factories critical to so much of our world’s digital infrastructure. At Intel, maintaining clean and safe facilities is core to how we operate. As an extra precaution, we have contracted for additional and sustained several-times-daily cleaning of Intel facilities around the world.

In addition, Intel is applying its technology and expertise to help better understand and combat the virus. For example, Intel and Lenovo have teamed up with Beijing-based BGI Genomics to accelerate the analysis of genomic characteristics of COVID-19. Our combined work will further advance the capabilities of BGI’s sequencing tools to help scientists investigate transmission patterns of the virus and create better diagnostic methods. Intel will continue to look for opportunities to assist our partners and customers in this urgent and important work.

Intel’s Pandemic Leadership Team, in partnership with Intel’s Corporate Emergency Operations Center, is closely monitoring any changes in the global environment. This specialized team of medical, safety and operational experts was established more than 15 years ago to lead Intel through global health situations like the one we are navigating now. The team’s focus is to safeguard the well-being of employees and minimize the spread of infection by partnering with local governments and public health organizations and following their recommendations. In the past, the team has successfully helped Intel manage through global health issues such as bird flu, SARS, Ebola, Zika and H1N1 virus.

Intel will continue to evolve our response and keep our employees informed with their safety and well-being as the top priority.

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Intel Declares Quarterly Cash Dividend

Produits Intel - jeu, 12/03/2020 - 15:00

SANTA CLARA, Calif., Mar. 12, 2020 – Intel Corporation today announced that its board of directors has declared a quarterly dividend of $0.33 per share ($1.32 per share on an annual basis) on the company’s common stock. The dividend will be payable on June 1, 2020, to stockholders of record on May 7, 2020.

The post Intel Declares Quarterly Cash Dividend appeared first on Intel Newsroom.

Tour the Intel Museum in a New Video

Produits Intel - lun, 09/03/2020 - 17:00

Every year, more than 85,000 people – many with student tours and field trips – visit the Intel Museum at Intel’s headquarters in Santa Clara, California.

Learn more about the museum (location, hours, tour information and visiting guides) on the Intel website.

Editor’s Note: Effective Monday, March 9, 2020, the Intel Museum and Intel Store at Intel’s headquarters in Santa Clara will be closed until further notice. Call 408-765-5050 or visit the Intel Museum’s web page for the latest updates on the reopening.

More: All Intel Images | Intel Headquarters and Museum Images and B-Roll Video

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Intel Demonstrates Industry-First Co-Packaged Optics Ethernet Switch

Produits Intel - jeu, 05/03/2020 - 19:36

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What’s New: Intel today announced it has successfully integrated its 1.6 Tbps silicon photonics engine with its 12.8 Tbps programmable Ethernet switch. This co-packaged solution brings together the essential technology building blocks from Intel and its Barefoot Networks Division for integrated optics on an Ethernet switch.

“Our co-packaged optics demonstration is the first step to making optical I/O with silicon photonics a reality. We share the industry belief that co-packaged optics offers power and density advantages for switches at 25 Tbps and higher, and ultimately is a necessary and enabling technology for bandwidth scalability in future networks. The timing of this demonstration shows the technology is ready to support our customers’ requirements.”
–Hong Hou, Intel corporate vice president and general manager of the Silicon Photonics Products Division

Who It Helps: The co-packaged switch is optimized for hyperscale data centers, where demand for cost-effective interconnect and bandwidth is limitless. Intel is currently demonstrating this technology to customers.

Why It Matters: Today’s data center switches depend on pluggable optics installed in the switch faceplate that are connected to switch serializer/deserializer (SerDes) ports using an electrical trace. But as data center switch bandwidth grows, connecting the SerDes to pluggable optics electrically will be more complex and require more power. With co-packaged optics, the optical port is placed near the switch within the same package, thus reducing power and enabling continued switch bandwidth scalability.

What is Being Demonstrated: This demonstration brings together the best of Barefoot Networks’ programmable Ethernet switch technology and Intel’s silicon photonics technology. The integrated switch package in this demonstration uses a P4-programmable Barefoot Tofino™ 2 switch ASIC co-packaged with 1.6 Tbps silicon photonics engines from Intel’s Silicon Photonics Product Division.

More about Barefoot Networks Ethernet Switch: Barefoot Tofino 2 is a P4-programmable Ethernet switch that delivers up to 12.8 Tbps throughput and is based on the company’s Protocol Independent Switch Architecture (PISA). PISA is programmed using the open source P4 programming language for data planes. With the P4 data plane, Tofino switches’ forwarding capability can be adapted via software to new needs in the network or to new protocols that are supported by P4. The performance and programmability of Tofino 2 are designed to meet the needs of hyperscale data centers and cloud and service provider networks.

For co-packaged optics, the Barefoot Tofino 2 switch ships in a multi-die package that makes it easier to co-package the optical engine and to upgrade the SerDes for lower power or higher throughput.

“As switch chips scale to meet requirements for demand of limitless bandwidth in cloud-scale data centers, the need for power- and cost-effective interconnect is critical,” said Ed Doe, vice president and general manager of the Barefoot Division. “We have designed our Tofino 2 switch series using leading edge multi-die technology that enables interface flexibility, making it easier for us to integrate and create a scalable co-packaged solution with our silicon photonics products.  This has empowered us to deliver an industry-first solution that will greatly advance the future of data center infrastructure and architectures.”

More about the Silicon Photonics Engine: The silicon photonics interconnect platform features 1.6 Tbps photonic engines realized as 4 ports of 400GBase-DR4 interfaces, designed and manufactured in the Intel silicon photonics platform. The engines are modular arrays of transceivers built around integrated silicon photonics chips with on-chip lasers and high-speed modulators and detectors, representing the evolution of the silicon photonics platform that has shipped in more than 3 million units of 100G pluggable transceivers and powers the 200G and 400G pluggable modules ramping to volume this year. Highlighting the modularity and flexibility of the co-packaged switch platform developed by Intel, the integrated switch package features a combination of co-packaged optical ports and copper ports supporting front-plate cages for optical modules or copper cables.

What Barefoot Networks is: Intel acquired Barefoot Networks in 2019 to accelerate its delivery of Ethernet-based fabrics. Barefoot Networks is an emerging leader in Ethernet switch silicon and software for use in the data center, specializing in the programmability and flexibility necessary to meet the performance and ever-changing needs of the hyperscale cloud. Barefoot empowers network owners and their infrastructure partners to design, optimize and innovate to meet their specific requirements and gain competitive advantage. In combining the P4 programming language with fast programmable switches, Barefoot has also created an ecosystem for compilers, tools and P4 programs to make P4 accessible to anybody.

More Context: Data Center News | 5G News

The Small Print: 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 Demonstrates Industry-First Co-Packaged Optics Ethernet Switch appeared first on Intel Newsroom.