{"id":17304,"date":"2020-12-09T10:35:35","date_gmt":"2020-12-09T07:35:35","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/?p=17304"},"modified":"2026-03-27T19:54:57","modified_gmt":"2026-03-27T16:54:57","slug":"update-on-intels-neuromorphic-ecosystem-growth-and-research-progress","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/update-on-intels-neuromorphic-ecosystem-growth-and-research-progress\/","title":{"rendered":"Update on Intel\u2019s Neuromorphic Ecosystem Growth and Research Progress"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>What\u2019s New:<\/strong>\u00a0Intel shared an update on progress within the\u00a0<a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/research\/neuromorphic-community.html\" target=\"_blank\" rel=\"noreferrer noopener\">Intel Neuromorphic Research Community<\/a>\u00a0(INRC). The group has grown rapidly since its inception in 2018. It now includes more than 100 members, with Intel announcing today the addition of Lenovo, Logitech, Mercedes-Benz, and Prophesee to explore the value of neuromorphic computing for business use cases. Additionally, Intel summarized a growing body of research results coming out of the INRC computed on its\u00a0<a href=\"https:\/\/newsroom.intel.com\/editorials\/intel-creates-neuromorphic-research-community\/\" target=\"_blank\" rel=\"noreferrer noopener\">neuromorphic research test chip, Loihi.<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"691\" src=\"https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/loihi-1024x691.jpg\" alt=\" neuromorphic research test chip, Loihi.\" class=\"wp-image-17305\" srcset=\"https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/loihi-1024x691.jpg 1024w, https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/loihi-300x203.jpg 300w, https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/loihi-768x518.jpg 768w, https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/loihi-1080x729.jpg 1080w, https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/loihi.jpg 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><em>\u201cIn two short years, we\u2019ve formed a vibrant community comprising hundreds of researchers around the world inspired by the promise of neuromorphic computing to deliver orders of magnitude gains in computing efficiency, speed, and intelligent functionality. For the first time, we see a quantitative picture emerge that validates this promise.\u00a0Together with our INRC partners, we plan to build on these insights to enable wide-ranging disruptive commercial applications for this nascent technology.\u201d<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/Intel-Labs-Mike-Davies-2-1024x683.jpg\" alt=\" -- Mike Davies, director of Intel\u2019s Neuromorphic Computing Lab \" class=\"wp-image-17307\" srcset=\"https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/Intel-Labs-Mike-Davies-2-1024x683.jpg 1024w, https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/Intel-Labs-Mike-Davies-2-300x200.jpg 300w, https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/Intel-Labs-Mike-Davies-2-768x512.jpg 768w, https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/Intel-Labs-Mike-Davies-2-1080x720.jpg 1080w, https:\/\/saudishopper.com.sa\/en\/wp-content\/uploads\/2020\/12\/Intel-Labs-Mike-Davies-2.jpg 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption> &#8212; Mike Davies, director of Intel\u2019s Neuromorphic Computing Lab <\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Why It Matters:\u00a0<\/strong>Intel created the INRC because it believes no one group alone will effectively unlock the full potential of neuromorphic computing. By collaborating with some of the leading researchers in this field, spanning academia, industry, and government, Intel is working to overcome the challenges in developing neuromorphic computing and progress it from research prototypes to industry-leading products over the coming years.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Intel and its partners have demonstrated orders of magnitude gains for real-world edge use cases and are seeing early progress in scaling these workloads to solve larger computational problems. As neuromorphic computing continues to advance, Intel and the INRC have also uncovered various potential real-world use cases for neuromorphic technology, enabling more efficient and adaptive robotics, rapidly searching large databases for similar content, and allowing edge devices to make difficult planning and optimization decisions in real-time. The addition of Lenovo, Logitech, Mercedes-Benz, and Prophesee to the INRC and existing Fortune 500 and government members showcase the steady maturing of neuromorphic technology and its coming graduation from academic laboratories into industry applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Results:\u00a0<\/strong>Through ongoing development, prototyping, and testing of applications built on Intel\u2019s neuromorphic systems, Intel and INRC members are compiling a growing body of results that show consistent gains across a wide range of workloads. Existing results, such as\u00a0<a href=\"https:\/\/newsroom.intel.com\/news\/computers-smell-intels-neuromorphic-chip-sniff-hazardous-chemicals\/#gs.leh4m7\" target=\"_blank\" rel=\"noreferrer noopener\">mimicking the human olfactory system<\/a>\u00a0and bringing\u00a0<a href=\"https:\/\/newsroom.intel.com\/news\/singapore-researchers-neuromorphic-computing-robots-feel\/#gs.leh78p\" target=\"_blank\" rel=\"noreferrer noopener\">event-based touch sensing to robotics<\/a>, combined with new benchmarks outlined at Intel Labs Day, paint a picture of neuromorphic computing well-suited for an emerging class of bio-inspired intelligent workloads that also have commercial relevance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Benchmarking updates highlighted at Intel Labs Day include:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Voice Command Recognition:\u00a0<\/strong>Accenture tested the ability to recognize voice commands on Intel\u2019s Loihi chip versus a standard graphics processing unit (GPU) and found Loihi not only achieved similar accuracy, but it was also up to 1,000 times more energy-efficient and responded up to 200 milliseconds faster. Through the INRC, Mercedes-Benz explores how these results could apply to real-world use cases, such as adding new voice interaction commands to vehicles.<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Gesture Recognition:\u00a0<\/strong>Traditional AI works well for crunching big data and recognizing patterns across thousands of examples, but it has a hard time learning subtle differences that change from person to person \u2013 like the gestures we use to communicate. Accenture and INRC partners demonstrate tangible progress for utilizing Loihi\u2019s self-learning capabilities to learn and recognize individualized gestures quickly. Processing input from a neuromorphic camera, Loihi can learn new gestures in just a few exposures. This could be applied to various cases, such as interacting with smart products in the home or touchless displays in public spaces.\u00a0<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Image Retrieval:<\/strong>\u00a0Researchers from the retail industry evaluated Loihi for image-based product search applications. They found Loihi could generate image feature vectors over 3 times more energy-efficiently than conventional central processing unit (CPU) and GPU solutions while maintaining the same accuracy level. This work complements similarity search results from Intel\u2019s Pohoiki Springs neuromorphic research system,\u00a0<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3381755.3398695\" target=\"_blank\" rel=\"noreferrer noopener\">published earlier this year<\/a>, which showed Loihi\u2019s ability to search feature vectors in million-image databases 24 times faster and with 30 times lower energy than a CPU.\u00a0<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Optimization and Search:\u00a0<\/strong>Intel and its partners have discovered that Loihi can solve optimization and search problems that are over 1,000 times more efficiently and 100 times faster than traditional CPUs. Optimization problems \u2013 such as constraint satisfaction \u2013 provide potential value at the edge, enabling drones to plan and make complex navigation decisions in real-time. The same problem type could also be scaled for complex data center workloads, assisting with training scheduling and logistics optimization.<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Robotics<\/strong>: Rutgers and TU Delft researchers published new demonstrations of robotic navigation and micro-drone control applications running on Loihi. TU Delft\u2019s drone performed optic flow landings with an evolved, 35-neuron spiking network running at frequencies over 250 kilohertz. Rutgers found its Loihi solutions to require 75 times lower power than conventional mobile GPU implementations, without any loss in performance. In work published at the 2020 Conference on Robot Learning in November, Rutgers researchers found that Loihi could successfully learn numerous OpenAI Gym tasks with equivalent high accuracy as a deep actor-network, with 140 times lower energy consumption than a mobile GPU solution.\u00a0<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Additionally, Intel and partners unveiled two state-of-the-art neuromorphic robotics demonstrations at Intel Labs Day. Working with researchers from ETH Zurich, Intel showed Loihi adaptively controlling a horizon-tracking drone platform achieving closed-loop speeds up to 20 kilohertz with 200 microseconds of visual processing latency. This represents a 1,000 times gain in combined efficiency and speed compared to conventional solutions. Tackling the neuromorphic software integration problem, Intel and researchers from the Italian Institute of Technology (IIT) demonstrated the operation of multiple cognitive functions running together on Loihi in IIT\u2019s iCub robot platform. These included object recognition with fast, few-shot learning, spatial awareness from those learning objects, and real-time decision-making in response to human interaction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What\u2019s Next:\u00a0<\/strong>As the INRC grows, Intel will continue investing in this unique ecosystem and working with members to provide technical support and explore where neuromorphic computing can add real-world value for big and small problems. Additionally, Intel is continuing to take learnings from the INRC and incorporate them into developing the company\u2019s next-generation neuromorphic research chip, which will be coming soon.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>About the Intel Neuromorphic Research Community:<\/strong>\u00a0The Intel Neuromorphic Research Community is an ecosystem of academic groups, government labs, research institutions, and companies worldwide working with Intel to further neuromorphic computing and develop innovative artificial intelligence applications. Researchers interested in participating in the INRC and developing for Loihi can visit the\u00a0<a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/research\/neuromorphic-community.html\" target=\"_blank\" rel=\"noreferrer noopener\">Intel Neuromorphic Research Community website<\/a>. A list of current members can also be found at the site.<\/p>\n\n\n\n<iframe loading=\"lazy\" title=\"vimeo-player\" src=\"https:\/\/player.vimeo.com\/video\/485709064\" width=\"640\" height=\"360\" frameborder=\"0\" allowfullscreen><\/iframe>\n","protected":false},"excerpt":{"rendered":"<p>What\u2019s New:\u00a0Intel shared an update on progress within the\u00a0Intel Neuromorphic Research Community\u00a0(INRC). The group has grown rapidly since its inception in 2018. It now includes more than 100 members, with Intel announcing today the addition of Lenovo, Logitech, Mercedes-Benz, and Prophesee to explore the value of neuromorphic computing for business use cases. Additionally, Intel summarized [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":17306,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_meta-robots-noindex":"","_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","_pr_autopilot_social_copy":"","_yoast_wpseo_opengraph_title":"","_yoast_wpseo_opengraph_description":"","_yoast_wpseo_opengraph_image":"","_yoast_wpseo_opengraph_image_id":0,"_yoast_wpseo_twitter_title":"","_yoast_wpseo_twitter_description":"","_yoast_wpseo_twitter_image":"","_yoast_wpseo_twitter_image_id":0,"_yoast_wpseo_primary_category":449,"_extra_hide_author_box":"","_extra_featured_post":"0","_partner_post_id":0,"footnotes":""},"categories":[449,446],"tags":[],"class_list":["post-17304","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-computers","et-has-post-format-content","et_post_format-et-post-format-standard"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Intel neuromorphic ecosystem - Growth update | Saudi Shopper<\/title>\n<meta name=\"description\" content=\"Intel neuromorphic ecosystem update: INRC grows past 100 members and adds Lenovo, Logitech, Mercedes-Benz, and Prophesee. 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