{"id":2393,"date":"2025-02-20T12:32:31","date_gmt":"2025-02-20T12:32:31","guid":{"rendered":"https:\/\/meyn.ece.ufl.edu\/?page_id=2393"},"modified":"2026-03-25T15:32:56","modified_gmt":"2026-03-25T20:32:56","slug":"trustworthy-ai-for-resilient-and-adaptive-aerospace-autonomy","status":"publish","type":"page","link":"https:\/\/faculty.eng.ufl.edu\/meyn\/c3\/c3-9\/trustworthy-ai-for-resilient-and-adaptive-aerospace-autonomy\/","title":{"rendered":"Pulse Based Computation: Fundamentals and Opportunities"},"content":{"rendered":"<h3><a href=\"https:\/\/shahriarta.github.io\/\">Jose Principe<\/a> (University of Florida)<\/h3>\n<p><strong>Talk Abstract:\u00a0 <\/strong>Inspired by brain function, this talk motivates the use of continuous time and amplitude representations for computing using pulses, . The major goal is to decrease the power requirements of the current Von Neumann architectures for autonomous AI applications. We will present an ultra-low power alternative to A\/D converters, some important results addressing accuracy using pulse trains, and how to construct pulse-based operators for real time addition and multiplication of pulse trains. We show ultra-low power implementations, using automata for physiology applications, and machine learning applications for speech recognition.<\/p>\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"200\" src=\"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-content\/uploads\/sites\/671\/2026\/03\/picture-355-1379445149.jpg\" alt=\"\" class=\"wp-image-2691\" \/><\/figure>\n\n\n<p>Bio: Jose C. Principe (M\u201983-SM\u201990-F\u201900) is Don D. &amp; Ruth Eckis Endowed Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs) modeling.\u00a0 Among his recent honors, Pr\u00edncipe was elected Fellow of the American Association for the Advancement of Science (2021) and Fellow of the National Academy of Inventors (2021), and received the <strong>IEEE Signal Processing Society Claude Shannon\u2013Harry Nyquist Technical Achievement Award<\/strong> for fundamental contributions to adaptive learning systems.<\/p>\n<p>He is BellSouth Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu . His primary area of interest is processing of time varying signals with adaptive neural models. The CNEL Lab is studying signal and pattern recognition principles based on information theoretic criteria (entropy and mutual information) and applying these advanced algorithms to Brain Machine Interfaces (both motor as well as somatosensory feedback).<\/p>\n<p>\u00a0<\/p>\n<div class=\"grve-element grve-text link-back\">\u00a0<\/div>","protected":false},"excerpt":{"rendered":"<p>Jose Principe (University of Florida) Talk Abstract:\u00a0 Inspired by brain function, this talk motivates the use of continuous time and amplitude representations for computing using pulses, . The major goal is to decrease the power requirements of the current Von Neumann architectures for autonomous AI applications. We will present an ultra-low power alternative to A\/D [&hellip;]<\/p>\n","protected":false},"author":1347,"featured_media":0,"parent":2631,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"page-templates\/page-section-nav.php","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-2393","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages\/2393","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/users\/1347"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/comments?post=2393"}],"version-history":[{"count":5,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages\/2393\/revisions"}],"predecessor-version":[{"id":2853,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages\/2393\/revisions\/2853"}],"up":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages\/2631"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/media?parent=2393"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}