{"id":224133,"date":"2025-10-28T02:19:20","date_gmt":"2025-10-28T07:19:20","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/10\/unified-memristor-ferroelectric-memory-developed-for-energy-efficient-training-of-ai-systems"},"modified":"2025-10-28T02:19:20","modified_gmt":"2025-10-28T07:19:20","slug":"unified-memristor-ferroelectric-memory-developed-for-energy-efficient-training-of-ai-systems","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/10\/unified-memristor-ferroelectric-memory-developed-for-energy-efficient-training-of-ai-systems","title":{"rendered":"Unified memristor-ferroelectric memory developed for energy-efficient training of AI systems"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/unified-memristor-ferroelectric-memory-developed-for-energy-efficient-training-of-ai-systems.jpg\"><\/a><\/p>\n<p>Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently store increasing amounts of data. However, the different types of devices developed to date come with their own trade-offs, which pose limits on their overall performance and restrict their possible applications.<\/p>\n<p>Researchers at Universit\u00e9 Grenoble Alpes (CEA-Leti, CEA List), Universit\u00e9 de Bordeaux (CNRS) and Universit\u00e9 Paris-Saclay (CNRS) recently developed a new memory device that combines two complementary components typically used individually, known as memristors and ferroelectric capacitors (FeCAPs). This unified memristor-ferroelectric memory, presented in a paper <a href=\"https:\/\/www.nature.com\/articles\/s41928-025-01454-7\" target=\"_blank\">published<\/a> in <i>Nature Electronics<\/i>, could be particularly promising for running artificial intelligence (AI) systems that autonomously learn to make increasingly accurate predictions.<\/p>\n<p>\u201cThe \u2018ideal\u2019 memory would be high-density, non-volatile, capable of non-destructive readout, and offer virtually infinite endurance,\u201d Elisa Vianello, senior author of the paper, told Tech Xplore.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently store increasing amounts of data. However, the different types of devices developed to date come with their own trade-offs, which pose limits on their overall performance and restrict their possible applications. Researchers at Universit\u00e9 Grenoble Alpes [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-224133","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/224133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=224133"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/224133\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=224133"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=224133"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=224133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}