{"id":656077,"date":"2025-03-07T07:15:14","date_gmt":"2025-03-07T04:15:14","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/new-method-significantly-reduces-ai-energy-consumption\/"},"modified":"2025-03-07T07:15:14","modified_gmt":"2025-03-07T04:15:14","slug":"new-method-significantly-reduces-ai-energy-consumption","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/new-method-significantly-reduces-ai-energy-consumption\/","title":{"rendered":"#New method significantly reduces AI energy consumption"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a2950cd3047e\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a2950cd3047e\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/new-method-significantly-reduces-ai-energy-consumption\/#Parameters_selected_according_to_probabilities\" >Parameters selected according to probabilities<\/a><\/li><\/ul><\/nav><\/div>\n<div>\n<div class=\"article-gallery lightGallery\">\n<div data-thumb=\"https:\/\/scx1.b-cdn.net\/csz\/news\/tmb\/2025\/new-method-significant.jpg\" data-src=\"https:\/\/scx2.b-cdn.net\/gfx\/news\/hires\/2025\/new-method-significant.jpg\" data-sub-html=\"The SuperMUC-NG at the Leibniz Supercomputing Centre is the eighth fastest computer in the world. Credit: Veronika Hohenegger, LRZ\">\n<figure class=\"article-img\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/scx1.b-cdn.net\/csz\/news\/800a\/2025\/new-method-significant.jpg\" alt=\"New method significantly reduces AI energy consumption\" title=\"The SuperMUC-NG at the Leibniz Supercomputing Centre is the eighth fastest computer in the world. Credit: Veronika Hohenegger, LRZ\" width=\"800\" height=\"450\"\/><figcaption class=\"text-darken text-low-up text-truncate-js text-truncate mt-3\">\n                The SuperMUC-NG at the Leibniz Supercomputing Centre is the eighth fastest computer in the world. Credit: Veronika Hohenegger, LRZ<br \/>\n            <\/figcaption><\/figure>\n<\/p><\/div>\n<\/div>\n<p>AI <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>lications such as large language models (LLMs) have become an integral part of our everyday lives. The required computing, storage and transmission capacities are provided by data centers that consume vast amounts of energy. In Germany alone, this amounted to about 16 billion kWh in 2020, or around 1% of the country&#8217;s total energy consumption. For 2025, this figure is expected to increase to 22 billion kWh.<\/p>\n<p>The arrival of more complex AI applications in the coming years will substantially increase the demands on data center capacity. These applications will use up huge amounts of energy for the training of neural networks. To counteract this trend, researchers at the Technical University of Munich (TUM) have developed a training method that is 100 times faster while achieving accuracy comparable to existing procedures. This will significantly reduce the energy consumption for training.<\/p>\n<p>They presented their <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/neurips.cc\/virtual\/2024\/99994\" target=\"_blank\">research<\/a> at the Neural Information Processing Systems conference (<a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/neurips.cc\/Conferences\/2024\" target=\"_blank\">NeurIPS 2024<\/a>), held in Vancouver Dec. 10\u201315.<\/p>\n<p>The functioning of neural networks, which are used in AI for such tasks as image recognition or language processing, is inspired by the way the human brain works. These networks consist of interconnected nodes called artificial neurons. The input signals are weighted with certain parameters and then summed up. If a defined threshold is exceeded, the signal is passed on to the next node.<\/p>\n<p>To train the network, the initial selection of parameter values is usually randomized, for example, using a normal distribution. The values are then incrementally adjusted to gradually improve the network predictions. Because of the many iterations required, this training is extremely demanding and consumes a lot of electricity.<\/p>\n<p>                                                                                                        <!-- TechX - News - In-article --><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Parameters_selected_according_to_probabilities\"><\/span>Parameters selected according to probabilities<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Felix Dietrich, a professor of Physics-enhanced Machine Learning, and his team have developed a new method. Instead of iteratively determining the parameters between the nodes, their approach uses probabilities. Their probabilistic method is based on the targeted use of values at critical locations in the training data where large and rapid changes in values are taking place.<\/p>\n<p>The objective of the current study is to use this approach to acquire energy-conserving dynamic systems from the data. Such systems change over the course of time in accordance with certain rules and are found in climate models and in financial markets, for example.<\/p>\n<p>&#8220;Our method makes it possible to determine the required parameters with minimal computing power. This can make the training of neural networks much faster and, as a result, more energy efficient,&#8221; says Dietrich. &#8220;In addition, we have seen that the accuracy of the new method is comparable to that of iteratively trained networks.&#8221;<\/p>\n<div class=\"d-inline-block text-medium my-4\">\n                                                Provided by<br \/>\n                                                                                                    Technical University Munich<br \/>\n                                                    \t\t\t\t\t\t\t\t\t\t\t\t\t<a rel=\"nofollow\" target=\"_blank\" class=\"icon_open\" href=\"http:\/\/www.tum.de\/\" target=\"_blank\" rel=\"nofollow\"><br \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<svg>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<use href=\"https:\/\/techx.b-cdn.net\/tmpl\/v2\/img\/svg\/sprite.svg#icon_open\" x=\"0\" y=\"0\"\/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/svg><br \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a><\/p><\/div>\n<p>                                        <!-- print only --><\/p>\n<div class=\"d-none d-print-block\">\n<p>\n                                                <strong>Citation<\/strong>:<br \/>\n                                                New method significantly reduces AI energy consumption (2025, March 6)<br \/>\n                                                retrieved 6 March 2025<br \/>\n                                                from https:\/\/techxplore.com\/<a href=\"https:\/\/buradabiliyorum.com\/en\/category\/news\/\" data-internallinksmanager029f6b8e52c=\"2\" title=\"News\" target=\"_blank\" rel=\"noopener\">news<\/a>\/2025-03-method-significantly-ai-energy-consumption.html\n                                            <\/p>\n<p>\n                                            This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no<br \/>\n                                            part may be reproduced without the written permission. The content is provided for information purposes only.\n                                            <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p><script id=\"facebook-jssdk\" async=\"\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js\"><\/script><\/p>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more Like this articles, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/en.buradabiliyorum.com\/category\/sciencee\/\" target=\"_blank\" >Science category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/techxplore.com\/news\/2025-03-method-significantly-ai-energy-consumption.html\" target=\"_blank\" >Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The SuperMUC-NG at the Leibniz Supercomputing Centre is the eighth fastest computer in the world. Credit: Veronika Hohenegger, LRZ AI applications such as large language models (LLMs) have become an integral part of our everyday lives. The required computing, storage and transmission capacities are provided by data centers that consume vast amounts of energy. In&#8230;<\/p>\n","protected":false},"author":1,"featured_media":656078,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/scx2.b-cdn.net\/gfx\/news\/hires\/2025\/new-method-significant.jpg","fifu_image_alt":"","footnotes":""},"categories":[16],"tags":[],"class_list":["post-656077","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sciencee"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/656077","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=656077"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/656077\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/656078"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=656077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=656077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=656077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}