University of Surrey researchers have developed a new approach to improve artificial intelligence (AI) performance by mimicking the networks of the human brain.<\/p>\n
According to a study published in Neurocomputing, mimicking the brain’s neural wiring can significantly improve the performance of artificial neural networks used in generative AI and other modern AI models such as ChatGPT.<\/p>\n
Topographical Sparse Mapping connects each neuron only to nearby or related neurons, similarly to how the human brain organises information efficiently. <\/p>\n
Dr Roman Bauer, senior lecturer, said: “Our work shows that intelligent systems can be built far more efficiently, cutting energy demands without sacrificing performance.”<\/p>\n
Researchers said the model eliminated the need for vast numbers of unnecessary connections, improving performance in a more sustainable way without sacrificing accuracy.<\/p>\n
Dr Bauer added: “Training many of today’s popular large AI models can consume over a million kilowatt-hours of electricity.<\/p>\n
“That simply isn’t sustainable at the rate AI continues to grow.”<\/p>\n
An enhanced version called Enhanced Topographical Sparse Mapping goes a step further by introducing a biologically inspired “pruning” process during training.<\/p>\n
This is similar to how the brain gradually refines its neural connections as it learns.<\/p>\n
The research team is also exploring how the approach could be used in other applications, such as more realistic neuromorphic computers – a computing approach inspired by the human brain’s structure and function.<\/p>\n","protected":false},"excerpt":{"rendered":"University of Surrey researchers have developed a new approach to improve artificial intelligence (AI) performance by mimicking the…\n","protected":false},"author":3,"featured_media":350545,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[691,738,158,67,132,68],"class_list":{"0":"post-350544","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-technology","11":"tag-united-states","12":"tag-unitedstates","13":"tag-us"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@us\/115480721058388692","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/350544","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/comments?post=350544"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/350544\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media\/350545"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media?parent=350544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/categories?post=350544"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/tags?post=350544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}