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

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

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

The post Intel Commits $50 Million with Pandemic Response Technology Initiative to Combat Coronavirus appeared first on Intel Newsroom.

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

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 www.intel.com/benchmarks.

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: 3.0.0.4.384_5640 (Wi-Fi 6) and Asus* AC66U FW: 3.0.0.4.382_50470.  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 www.intel.com/OptaneMemory for configuration requirements.

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Intel CEO Bob Swan’s Annual Letter

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

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

The post Intel Allocates $6 Million for Coronavirus Relief, Builds on Previous Efforts appeared first on Intel Newsroom.

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

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 Intel.com | Customer Stories on Intel Newsroom

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

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

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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