{"id":305,"date":"2022-01-25T17:52:19","date_gmt":"2022-01-25T17:52:19","guid":{"rendered":"https:\/\/mcsoc-forum.org\/site\/?page_id=305"},"modified":"2026-03-09T01:19:47","modified_gmt":"2026-03-09T01:19:47","slug":"neurocore-t14","status":"publish","type":"page","link":"https:\/\/mcsoc-forum.org\/site\/index.php\/neurocore-t14\/","title":{"rendered":"Brain\u2011Inspired Hardware for Cognitive and Adaptive Systems"},"content":{"rendered":"\n
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\n \n \u2190 Back to the NeuroCore 2026 Page\n <\/a>\n<\/p>\n

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Track Chair<\/h2>\n
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\"Khanh<\/figure>

Khanh Dang<\/a><\/strong>
University of Aizu, Japan<\/span><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

The rapid evolution of intelligent systems is driving a renewed focus on hardware that mirrors the efficiency, adaptability, and resilience of biological brains. This track invites original contributions that explore architectures, circuits, devices, and integrated platforms inspired by neural, cognitive, and adaptive processes. We aim to bring together researchers and practitioners working at the intersection of neuromorphic engineering, cognitive computing, emerging devices, and system\u2011level integration to advance the next generation of intelligent hardware.<\/p>\n\n\n\n

Scope and Topics of Interest<\/strong><\/h3>\n\n\n\n

Submissions are encouraged in, but not limited to, the following areas:<\/p>\n\n\n\n