{"id":219338,"date":"2025-08-03T12:04:49","date_gmt":"2025-08-03T17:04:49","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/08\/new-algorithms-enable-efficient-machine-learning-with-symmetric-data"},"modified":"2025-08-03T12:04:49","modified_gmt":"2025-08-03T17:04:49","slug":"new-algorithms-enable-efficient-machine-learning-with-symmetric-data","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/08\/new-algorithms-enable-efficient-machine-learning-with-symmetric-data","title":{"rendered":"New algorithms enable efficient machine learning with symmetric data"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/new-algorithms-enable-efficient-machine-learning-with-symmetric-data2.jpg\"><\/a><\/p>\n<p>MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform the design of faster, more accurate machine-learning models for tasks like discovering new drugs or identifying astronomical phenomena.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform the design of faster, more accurate machine-learning models for tasks like discovering new drugs or identifying astronomical phenomena.<\/p>\n","protected":false},"author":732,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,6],"tags":[],"class_list":["post-219338","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/219338","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\/732"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=219338"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/219338\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=219338"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=219338"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=219338"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}