{"id":2585,"date":"2023-02-23T03:07:04","date_gmt":"2023-02-23T03:07:04","guid":{"rendered":"https:\/\/mcsoc-forum.org\/site\/?page_id=2585"},"modified":"2026-03-09T07:04:55","modified_gmt":"2026-03-09T07:04:55","slug":"neurocore-t10","status":"publish","type":"page","link":"https:\/\/mcsoc-forum.org\/site\/index.php\/neurocore-t10\/","title":{"rendered":"Neuromorphic Approaches for Foundation Models and On\u2011Device AI"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"204\" height=\"63\" src=\"http:\/\/mcsoc-forum.org\/site\/wp-content\/uploads\/2026\/02\/NeuroCore-Logo2.png\" alt=\"\" class=\"wp-image-11194\"\/><\/figure>\n\n\n\n<p>\n  <a href=\"https:\/\/mcsoc-forum.org\/site\/index.php\/neurocore\/\" style=\"font-weight: bold; color: #1b4d3e;\">\n    \u2190 Back to the NeuroCore 2026 Page\n  <\/a>\n<\/p>\n\n<div class=\"wp-block-group has-border-color has-medium-gray-border-color has-white-background-color has-background\" style=\"border-width:1px;border-radius:12px;padding-top:30px;padding-right:30px;padding-bottom:30px;padding-left:30px\">\n\n<h2 class=\"wp-block-heading has-text-color\" style=\"color:#00629b;text-transform:uppercase;letter-spacing:1px\">Session Chair<\/h2>\n<hr class=\"wp-block-separator has-text-color has-black-color has-alpha-channel-opacity has-black-background-color has-background is-style-wide\"\/>\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"margin-top:20px;margin-bottom:20px;grid-template-columns:15% auto\"><figure class=\"wp-block-media-text__media\"><img decoding=\"async\" src=\"http:\/\/mcsoc-forum.org\/site\/wp-content\/uploads\/2022\/01\/scholar-e1643363446774.jpg\" alt=\"Dr.\" class=\"wp-image-2593 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\"><p class=\"has-large-font-size\"><strong><a href=\"https:\/\/scholar.google.com\/citations?user=P_dYs6UAAAAJ&amp;hl=fr\" style=\"text-decoration: none; color: #00629B;\">TBC<\/a><\/strong><br><span style=\"font-size: 0.9em; color: #555;\">TBC<\/span><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n<p>Foundation models are rapidly transforming the landscape of artificial intelligence, yet their computational and energy demands remain a major barrier to scalable, real\u2011time, and ubiquitous deployment. Neuromorphic engineering offers a compelling path forward\u2014leveraging event\u2011driven computation, sparse representations, in\u2011memory processing, and biologically inspired learning to enable efficient, adaptive, and privacy\u2011preserving intelligence at the edge.  This track invites original research that explores how neuromorphic principles, circuits, systems, and algorithms can reshape the design, training, and deployment of foundation models and on\u2011device AI. Submissions that bridge the gap between large\u2011scale AI and low\u2011power neuromorphic hardware are especially encouraged.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Topics of interest include, but are not limited to:<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Neuromorphic Foundations for Large\u2011Scale AI<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neuromorphic acceleration of foundation models (LLMs, vision\u2011language models, multimodal models)<\/li>\n\n\n\n<li>Sparse, event\u2011driven, or spiking formulations of transformer architectures<\/li>\n\n\n\n<li>Neuromorphic approaches to scaling laws, model compression, and efficient inference<\/li>\n\n\n\n<li>In\u2011memory and compute\u2011near\u2011memory techniques for large\u2011parameter models<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>On\u2011Device and Edge Intelligence<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ultra\u2011low\u2011power neuromorphic processors for on\u2011device AI<\/li>\n\n\n\n<li>Real\u2011time learning and adaptation on edge devices<\/li>\n\n\n\n<li>Privacy\u2011preserving and federated neuromorphic learning<\/li>\n\n\n\n<li>Neuromorphic SoCs for mobile, wearable, and IoT applications<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Algorithms, Learning Rules, and Co\u2011Design<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Spiking or event\u2011driven variants of attention, diffusion, and generative models<\/li>\n\n\n\n<li>Local learning rules and continual learning for foundation\u2011model\u2011scale systems<\/li>\n\n\n\n<li>Hardware\u2013algorithm co\u2011design for efficient training and inference<\/li>\n\n\n\n<li>Compilers, toolchains, and software frameworks for neuromorphic deployment<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Applications and Emerging Directions<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neuromorphic acceleration for robotics, autonomous systems, and embodied AI<\/li>\n\n\n\n<li>Event\u2011based sensing integrated with foundation\u2011model pipelines<\/li>\n\n\n\n<li>Hybrid neuromorphic\u2013digital architectures for real\u2011time multimodal processing<\/li>\n\n\n\n<li>Novel benchmarks, datasets, and evaluation methodologies for neuromorphic FM\/edge AI<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h4 class=\"wp-block-heading\">Former Chairs<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Prof. Khanh Dang, University of Aizu, Japan  (16th IEEE MCSoC 2023)<\/li>\n\n\n\n<li>Prof. Anh Vu Doan, Infineon, Germany (16th IEEE MCSoC 2023)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u2190 Back to the NeuroCore 2026 Page Session Chair TBCTBC Foundation models are rapidly transforming the landscape of artificial intelligence, yet their computational and energy demands remain a major barrier to scalable, real\u2011time, and ubiquitous deployment. Neuromorphic engineering offers a compelling path forward\u2014leveraging event\u2011driven computation, sparse representations, in\u2011memory processing, and biologically inspired learning to enable &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/mcsoc-forum.org\/site\/index.php\/neurocore-t10\/\">Continue reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2585","page","type-page","status-publish","hentry","nodate","item-wrap"],"_links":{"self":[{"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/pages\/2585","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/comments?post=2585"}],"version-history":[{"count":35,"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/pages\/2585\/revisions"}],"predecessor-version":[{"id":11478,"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/pages\/2585\/revisions\/11478"}],"wp:attachment":[{"href":"https:\/\/mcsoc-forum.org\/site\/index.php\/wp-json\/wp\/v2\/media?parent=2585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}