{"id":178237,"date":"2023-12-13T13:22:51","date_gmt":"2023-12-13T19:22:51","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/12\/researchers-develop-spintronic-probabilistic-computers-compatible-with-current-ai"},"modified":"2023-12-13T13:22:51","modified_gmt":"2023-12-13T19:22:51","slug":"researchers-develop-spintronic-probabilistic-computers-compatible-with-current-ai","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/12\/researchers-develop-spintronic-probabilistic-computers-compatible-with-current-ai","title":{"rendered":"Researchers develop spintronic probabilistic computers compatible with current AI"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/researchers-develop-spintronic-probabilistic-computers-compatible-with-current-ai3.jpg\"><\/a><\/p>\n<p>Moore\u2019s Law predicts that computers get faster every two years because of the evolution of semiconductor chips.<\/p>\n<hr>\n<p>Researchers at Tohoku University and the University of California, Santa Barbara, have shown a proof-of-concept of energy-efficient computer compatible with current AI. It utilizes a stochastic behavior of nanoscale spintronics devices and is particularly suitable for probabilistic computation problems such as inference and sampling.<\/p>\n<p>The team presented the results at the <a href=\"https:\/\/www.ieee-iedm.org\/\">IEEE International Electron Devices Meeting<\/a> (IEDM 2023) on December 12, 2023.<\/p>\n<p>With the slowing down of Moore\u2019s Law, there has been an increasing demand for domain-specific hardware. A probabilistic computer with naturally stochastic building blocks (probabilistic bits, or p-bits) is a representative example due to its potential capability to efficiently address various computationally hard tasks in machine learning (ML) and artificial intelligence (AI).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Moore\u2019s Law predicts that computers get faster every two years because of the evolution of semiconductor chips. Researchers at Tohoku University and the University of California, Santa Barbara, have shown a proof-of-concept of energy-efficient computer compatible with current AI. It utilizes a stochastic behavior of nanoscale spintronics devices and is particularly suitable for probabilistic computation [\u2026]<\/p>\n","protected":false},"author":709,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,48,6],"tags":[],"class_list":["post-178237","post","type-post","status-publish","format-standard","hentry","category-nanotechnology","category-particle-physics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/178237","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/709"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=178237"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/178237\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=178237"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=178237"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=178237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}