{"id":113163,"date":"2020-09-18T18:28:23","date_gmt":"2020-09-19T01:28:23","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/09\/the-brains-memory-abilities-inspire-ai-experts-in-making-neural-networks-less-forgetful"},"modified":"2020-09-18T18:28:23","modified_gmt":"2020-09-19T01:28:23","slug":"the-brains-memory-abilities-inspire-ai-experts-in-making-neural-networks-less-forgetful","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/09\/the-brains-memory-abilities-inspire-ai-experts-in-making-neural-networks-less-forgetful","title":{"rendered":"The brain\u2019s memory abilities inspire AI experts in making neural networks less \u2018forgetful\u2019"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/the-brains-memory-abilities-inspire-ai-experts-in-making-neural-networks-less-forgetful2.jpg\"><\/a><\/p>\n<p>Artificial intelligence (AI) experts at the University of Massachusetts Amherst and the Baylor College of Medicine report that they have successfully addressed what they call a \u201cmajor, long-standing obstacle to increasing AI capabilities\u201d by drawing inspiration from a human brain memory mechanism known as \u201creplay.\u201d<\/p>\n<p>First author and postdoctoral researcher Gido van de Ven and principal investigator Andreas Tolias at Baylor, with Hava Siegelmann at UMass Amherst, write in <i>Nature Communications<\/i> that they have developed a new method to protect\u2014\u201d surprisingly efficiently\u201d\u2014 <a href=\"https:\/\/techxplore.com\/tags\/deep+neural+networks\/\" rel=\"tag\" class=\"\">deep neural networks<\/a> from \u201ccatastrophic forgetting;\u201d upon learning new lessons, the networks forget what they had learned before.<\/p>\n<p>Siegelmann and colleagues point out that deep <a href=\"https:\/\/techxplore.com\/tags\/neural+networks\/\" rel=\"tag\" class=\"\">neural networks<\/a> are the main drivers behind recent AI advances, but progress is held back by this forgetting.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) experts at the University of Massachusetts Amherst and the Baylor College of Medicine report that they have successfully addressed what they call a \u201cmajor, long-standing obstacle to increasing AI capabilities\u201d by drawing inspiration from a human brain memory mechanism known as \u201creplay.\u201d First author and postdoctoral researcher Gido van de Ven and [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-113163","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/113163","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\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=113163"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/113163\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=113163"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=113163"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=113163"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}