{"id":106722,"date":"2020-05-07T17:02:40","date_gmt":"2020-05-08T00:02:40","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/05\/unexpected-scientific-insights-into-covid-19-from-ai-machine-learning-tool"},"modified":"2020-05-07T17:02:40","modified_gmt":"2020-05-08T00:02:40","slug":"unexpected-scientific-insights-into-covid-19-from-ai-machine-learning-tool","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/05\/unexpected-scientific-insights-into-covid-19-from-ai-machine-learning-tool","title":{"rendered":"Unexpected Scientific Insights into COVID-19 From AI Machine Learning Tool"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/unexpected-scientific-insights-into-covid-19-from-ai-machine-learning-tool2.jpg\"><\/a><\/p>\n<p>A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) \u2013 scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes \u2013 have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.<\/p>\n<p>The tool, live at <a href=\"https:\/\/covidscholar.org\/\">covidscholar.org<\/a>, uses natural language processing techniques to not only quickly scan and search tens of thousands of research papers, but also help draw insights and connections that may otherwise not be apparent. The hope is that the tool could eventually enable \u201cautomated science.\u201d<\/p>\n<p>\u201cOn Google and other search engines people search for what they think is relevant,\u201d said Berkeley Lab scientist Gerbrand Ceder, one of the project leads. \u201cOur objective is to do information extraction so that people can find nonobvious information and relationships. That\u2019s the whole idea of machine learning and natural language processing that will be applied on these datasets.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) \u2013 scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes \u2013 have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-106722","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\/106722","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\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=106722"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/106722\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=106722"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=106722"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=106722"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}