{"id":12817,"date":"2022-11-28T10:10:41","date_gmt":"2022-11-28T15:10:41","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12817"},"modified":"2022-11-28T10:10:41","modified_gmt":"2022-11-28T15:10:41","slug":"dirty-shrimp-farms-are-punching-a-huge-hole-in-the-environment-a-i-could-cut-it-in-half","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/dirty-shrimp-farms-are-punching-a-huge-hole-in-the-environment-a-i-could-cut-it-in-half\/12817\/","title":{"rendered":"Dirty Shrimp Farms are Punching a Huge Hole in the Environment. A.I. Could Cut It In Half"},"content":{"rendered":"Originally published in Fortune, Oct 24, 2022.\u00a0 \u00a0 Inside a humid warehouse in suburban Indianapolis, a company called Atarraya is using large metal containers and the latest technology to grow shrimp hundreds of miles from the ocean. At one end of the hangar-like building\u00a0sit\u00a0blue metal boxes that look similar to shipping containers. But instead of holding cargo for transport, they\u2019re designed to grow Pacific\u00a0whiteleg\u00a0shrimp anywhere in the\u00a0world, overseen by\u00a0employees who don\u2019t require specialized training. \u201cThe software does all the heavy lifting,\u201d Daniel Russek, CEO of Mexico City\u2013 and Indianapolis-based Atarraya, tells\u00a0Fortune\u00a0during a tour of the company\u2019s newly launched <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/dirty-shrimp-farms-are-punching-a-huge-hole-in-the-environment-a-i-could-cut-it-in-half\/12817\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Fortune, Oct 24, 2022.\u00a0 \u00a0 Inside a humid warehouse in suburban Indianapolis, a company called Atarraya is using large metal containers and the latest technology to grow shrimp hundreds of miles from the ocean. At one end of the hangar-like building\u00a0sit\u00a0blue metal boxes that look similar to shipping containers. But instead of [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,368,791,243,8],"class_list":["post-12817","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-deep-learning","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12817","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12817"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12817\/revisions"}],"predecessor-version":[{"id":12818,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12817\/revisions\/12818"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}