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Machine-learning researchers at Google Research have developed<\/strong> in collaboration with researchers at Tri Alpha Energy a new computer algorithm which has significantly speeded up the optimization of its C-2U plasma generator.<\/p>\n On 25 July, the researchers published a report in the journal Scientific Reports describing the \u201cOptometrist Algorithm\u201d <\/em><\/a>, a machine-learning tool that aids in choosing parameters to hold hotter nuclear plasma for longer periods in fusion experiments<\/strong>, one of the keys to cracking the complex code of nuclear fusion.<\/p>\n <\/p>\n Tri Alpha Energy<\/strong> is a nearly two-decade-old company that uses a nuclear fusion design that shoots beams of plasma into a vessel where it\u2019s held in place, spinning, by a magnetic field. Its design shares some properties with particle accelerators.<\/strong><\/p>\n A nuclear fusion experiment can have thousands of individual factors that can affect the outcome, and a computer on its own might optimize an experiment to make it unsafe. The inclusion of expert oversight in parameter exploration is especially important<\/strong> given a priori identification of safe operating regimes cannot always be made for all combinations of machine parameters.<\/p>\n “To increase the speed of learning and optimization of plasma, we developed the Optometrist Algorithm. Just as in a visit to an optometrist, the algorithm offers a pair of choices to a human, and asks which one is preferable. Given the choice, the algorithm proceeds to offer another choice”<\/em>, write the researchers.<\/p>\n According to the authors, the tool is necessary to help with guiding experiments<\/strong>: “The highly nonlinear and temporally varying interaction between the plasma, its environment and external controls presents a considerable complexity in these experiments. A further difficulty arises from the fact that there is no single objective metric that fully captures both plasma quality and equipment constraints”<\/em>,\u00a0 they write.<\/p>\n Finally, although initially the fusion field has exploited the Optometrist Algorithm, this one could be used to work on any type of complicated problem<\/strong>, not just energy.<\/p>\n Source: <\/strong>greentechmedia<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Machine-learning researchers at Google Research have developed in collaboration with researchers at Tri Alpha Energy a new computer algorithm which has significantly speeded up the optimization of its C-2U plasma generator. On 25 July, the researchers published a report in the journal Scientific Reports describing the \u201cOptometrist Algorithm\u201d , a machine-learning tool that aids in … Read more<\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,6],"tags":[],"class_list":["post-2175","post","type-post","status-publish","format-standard","hentry","category-news","category-world"],"_links":{"self":[{"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/posts\/2175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/comments?post=2175"}],"version-history":[{"count":6,"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/posts\/2175\/revisions"}],"predecessor-version":[{"id":2184,"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/posts\/2175\/revisions\/2184"}],"wp:attachment":[{"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/media?parent=2175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/categories?post=2175"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fusion.bsc.es\/index.php\/wp-json\/wp\/v2\/tags?post=2175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"http:\/\/fusion.bsc.es\/wp-content\/uploads\/tae-1-e1501866958719.jpg\")