{"id":13557,"date":"2017-12-31T10:37:36","date_gmt":"2017-12-31T16:37:36","guid":{"rendered":"http:\/\/huewhite.com\/umb\/?p=13557"},"modified":"2017-12-31T10:37:36","modified_gmt":"2017-12-31T16:37:36","slug":"soon-our-bosses-will-have-compound-eyes","status":"publish","type":"post","link":"https:\/\/huewhite.com\/umb\/2017\/12\/31\/soon-our-bosses-will-have-compound-eyes\/","title":{"rendered":"Soon Our Bosses Will Have Compound Eyes"},"content":{"rendered":"

On D-brief<\/strong><\/em>\u00a0Leah Froats describes an enhancement to those algorithms which show you this based on that (known as the “nearest-neighbor search problem), which draws on as inspiration the neural architecture of fruit flies<\/em>:<\/p>\n

Fruit flies, however, have a mechanism in their brains that performs similarity searches in a very different way. Specifically, they expand the stimuli information, as opposed to compressing and simplifying it.<\/p>\n

When fruit flies first sense an odor, 50 neurons fire in a combination unique to that smell. But instead of simplifying that information as computer programs would, the flies\u2019 brains then send that information to a total of 2,000 neurons. With more neurons in play, the fly\u2019s brain is able to give each smell a more unique label, meaning that it\u2019s easier to categorize.<\/p>\n

The flies then pare this information down to the top five percent or so of neural signals, effectively sorting out only the most salient information. This creates a pattern similar to a digital hash that the fly can then use to identify scents and respond accordingly.<\/p><\/blockquote>\n

When implemented on computers against a standard test set, it out-performed what I take to be current algorithms (her language is a bit confused). I’m having trouble understanding exactly how this all works, but it sounds fascinating. The Science<\/strong><\/em> article this is based on is behind a paywall, and I don’t currently have a subscription.<\/p>\n","protected":false},"excerpt":{"rendered":"

On D-brief\u00a0Leah Froats describes an enhancement to those algorithms which show you this based on that (known as the “nearest-neighbor search problem), which draws on as inspiration the neural architecture of fruit flies: Fruit flies, however, have a mechanism in their brains that performs similarity searches in a very different \u2026 Continue reading → <\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-13557","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/posts\/13557","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/comments?post=13557"}],"version-history":[{"count":1,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/posts\/13557\/revisions"}],"predecessor-version":[{"id":13558,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/posts\/13557\/revisions\/13558"}],"wp:attachment":[{"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/media?parent=13557"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/categories?post=13557"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/tags?post=13557"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}