{"id":150926,"date":"2022-11-23T21:22:19","date_gmt":"2022-11-24T03:22:19","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/11\/an-optical-chip-that-can-train-machine-learning-hardware"},"modified":"2022-11-23T21:22:19","modified_gmt":"2022-11-24T03:22:19","slug":"an-optical-chip-that-can-train-machine-learning-hardware","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/11\/an-optical-chip-that-can-train-machine-learning-hardware","title":{"rendered":"An optical chip that can train machine learning hardware"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/an-optical-chip-that-can-train-machine-learning-hardware.jpg\"><\/a><\/p>\n<p>A multi-institution research team has developed an optical chip that can train machine learning hardware. Their research is published today in Optica.<\/p>\n<p>Machine learning applications have skyrocketed to $165 billion annually, according to a recent report from McKinsey. But before a machine can perform intelligence tasks such as recognizing the details of an image, it must be trained. Training of modern-day <a href=\"https:\/\/techxplore.com\/tags\/artificial+intelligence\/\" rel=\"tag\" class=\"\">artificial intelligence<\/a> (AI) systems like Tesla\u2019s autopilot costs several million dollars in electric power consumption and requires supercomputer-like infrastructure.<\/p>\n<p>This surging AI \u201cappetite\u201d leaves an ever-widening gap between computer hardware and demand for AI. Photonic integrated circuits, or simply optical chips, have emerged as a possible solution to deliver higher computing performance, as measured by the number of operations performed per second per watt used, or TOPS\/W. However, though they\u2019ve demonstrated improved core operations in machine intelligence used for data classification, photonic chips have yet to improve the actual front-end learning and machine training process.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A multi-institution research team has developed an optical chip that can train machine learning hardware. Their research is published today in Optica. Machine learning applications have skyrocketed to $165 billion annually, according to a recent report from McKinsey. But before a machine can perform intelligence tasks such as recognizing the details of an image, it [\u2026]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,44],"tags":[],"class_list":["post-150926","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-supercomputing"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/150926","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\/359"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=150926"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/150926\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=150926"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=150926"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=150926"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}