{"id":1027397,"date":"2023-08-06T16:56:45","date_gmt":"2023-08-06T20:56:45","guid":{"rendered":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/artificial-intelligence-and-machine-learning-in-packaging-robotics-fagen-wasanni-2.php"},"modified":"2023-08-06T16:56:45","modified_gmt":"2023-08-06T20:56:45","slug":"artificial-intelligence-and-machine-learning-in-packaging-robotics-fagen-wasanni-2","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/machine-learning\/artificial-intelligence-and-machine-learning-in-packaging-robotics-fagen-wasanni-2.php","title":{"rendered":"Artificial Intelligence and Machine Learning in Packaging Robotics &#8230; &#8211; Fagen wasanni"},"content":{"rendered":"<p><p>    At the forefront of the fourth industrial revolution,    Artificial Intelligence (AI) and Machine Learning (ML) have    become significant trends in packaging robotics and automation.    AI refers to software that is trained to perform specific    tasks, while ML uses algorithms to learn insights and patterns    from data. According to a report from PMMI, AI-based    applications in the packaging industry are expected to grow at    a CAGR of over 50% in the next five years.  <\/p>\n<p>    One company making strides in this field is Deep Learning    Robotics (DLRob). DLRob has developed groundbreaking robot    control software that allows users to teach robots tasks by    demonstrating them. Through advanced ML algorithms, robots can    learn by observing and mimicking human actions. DLRobs    software is user-friendly and adaptable to various robots and    applications.  <\/p>\n<p>    In April, DLRob announced a software update that enables its    customers to connect and control a wider range of robotics    devices, including Universal Robots UR series of cobots. This    expansion increases the capabilities and versatility of DLRobs    software.  <\/p>\n<p>    In another collaboration, Intrinsic, an Alphabet company, and    Siemens have partnered to explore integrations and interfaces    between Intrinsics AI-based robotics software and Siemens    Digital Industries portfolio for industrial production    automation. The goal is to bridge the gaps between robotics,    automation engineering, and IT development, making industrial    robotics more accessible and usable for businesses,    entrepreneurs, and developers. This collaboration aims to bring    joint solutions to the market that can benefit more    enterprises.  <\/p>\n<p>    Both Intrinsic and Siemens emphasize the importance of    combining robotics with the production environment to maximize    value. By accelerating the development process and facilitating    seamless operation, they aim to democratize access to robotics    and automation technology.  <\/p>\n<p>    This collaboration highlights the growing significance of AI    and ML in the packaging industry, paving the way for innovative    advancements in robotics and automation for various sectors.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read the original:<\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/fagenwasanni.com\/news\/artificial-intelligence-and-machine-learning-in-packaging-robotics-and-automation\/113213\/\" title=\"Artificial Intelligence and Machine Learning in Packaging Robotics ... - Fagen wasanni\">Artificial Intelligence and Machine Learning in Packaging Robotics ... - Fagen wasanni<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> At the forefront of the fourth industrial revolution, Artificial Intelligence (AI) and Machine Learning (ML) have become significant trends in packaging robotics and automation. AI refers to software that is trained to perform specific tasks, while ML uses algorithms to learn insights and patterns from data <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/machine-learning\/artificial-intelligence-and-machine-learning-in-packaging-robotics-fagen-wasanni-2.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[1231415],"tags":[],"class_list":["post-1027397","post","type-post","status-publish","format-standard","hentry","category-machine-learning"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/1027397"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=1027397"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/1027397\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=1027397"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=1027397"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=1027397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}