{"id":1027279,"date":"2023-08-04T10:44:19","date_gmt":"2023-08-04T14:44:19","guid":{"rendered":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/photonic-neural-networks-revolutionizing-machine-learning-and-ai-fagen-wasanni.php"},"modified":"2023-08-04T10:44:19","modified_gmt":"2023-08-04T14:44:19","slug":"photonic-neural-networks-revolutionizing-machine-learning-and-ai-fagen-wasanni","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/machine-learning\/photonic-neural-networks-revolutionizing-machine-learning-and-ai-fagen-wasanni.php","title":{"rendered":"Photonic Neural Networks: Revolutionizing Machine Learning and AI &#8211; Fagen wasanni"},"content":{"rendered":"<p><p>    Researchers at Politecnico di Milano have made a significant    breakthrough in the field of photonic neural networks. These    networks, inspired by the human brain, have the potential to    revolutionize machine learning and artificial intelligence    systems.  <\/p>\n<p>    Neural networks analyze data and learn from past experiences,    but they are energy-intensive and costly to train. To overcome    this obstacle, the researchers have developed photonic circuits    that are highly energy-efficient. These circuits can be used to    build photonic neural networks that utilize light to perform    calculations quickly and efficiently.  <\/p>\n<p>    The team at Politecnico di Milano has developed training    strategies for these photonic neurons, similar to those used    for conventional neural networks. This means that the photonic    neural network can learn quickly and achieve precision    comparable to traditional neural networks, but with    considerable energy savings. The energy consumption of these    networks grows much more slowly compared to traditional ones.  <\/p>\n<p>    The researchers have created a photonic accelerator in the chip    that allows calculations to be carried out very quickly and    efficiently. Using a programmable grid of silicon    interferometers, the calculation time is incredibly fast, equal    to less than a billionth of a second.  <\/p>\n<p>    The implications of this breakthrough extend beyond machine    learning and AI. The photonic neural network can be used for a    wide range of applications, such as graphics accelerators,    mathematical coprocessors, data mining, cryptography, and even    quantum computers. The technology has the potential to    revolutionize these fields by providing high computational    efficiency.  <\/p>\n<p>    The energy efficiency, speed, and accuracy of photonic neural    networks make them a powerful tool for industries seeking    digital transformation and AI integrations. With this    technology, businesses can approach machine learning and    artificial intelligence in a more cost-effective and efficient    manner. The future holds great potential for photonic neural    networks to shape the development of artificial intelligence    and quantum applications.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Original post:<\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/fagenwasanni.com\/news\/photonic-neural-networks-revolutionizing-machine-learning-and-ai\/104605\/\" title=\"Photonic Neural Networks: Revolutionizing Machine Learning and AI - Fagen wasanni\">Photonic Neural Networks: Revolutionizing Machine Learning and AI - Fagen wasanni<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Researchers at Politecnico di Milano have made a significant breakthrough in the field of photonic neural networks. These networks, inspired by the human brain, have the potential to revolutionize machine learning and artificial intelligence systems <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/machine-learning\/photonic-neural-networks-revolutionizing-machine-learning-and-ai-fagen-wasanni.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-1027279","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\/1027279"}],"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=1027279"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/1027279\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=1027279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=1027279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=1027279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}