tinyML Neuromorphic Engineering Forum – Algorithms Session
Hardware-Friendly Learning for Edge ML Ralph Etienne CUMMINGS Professor of Electrical and Computer Engineering Johns Hopkins University Exploring Robustness and
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Read MoreEvent-driven signal processing Sadique SHEIK VP of Artificial Intelligence, Head of Algorithms, Architectures and Applications SynSense AG Fully Spike-based Architecture
Read MoreNeuromorphic Engineering needs applications André van SCHAIK, Director of the International Centre for Neuromorphic Systems , Western Sydney University In
Read MoreTake Edge Impulse’s EON Tuner for an autoML spin! The EON Tuner helps you find and select the best embedded
Read More“Processing-In-Memory for Efficient AI Inference at the Edge” Kaiyuan Yang Assistant Professor Rice University Weier Wan Head of Software-Hardware Co-design
Read MoretinyML Auto ML Tutorial with imagimob Building Production-ready Models using Imagimob AI Imagimob AI is a development platform designed to
Read MoretinyML EMEA 2022 Full Stack Solutions session Autonomous Nano-UAVs: An Extreme Edge Computing Case Daniele PALOSSI, Postdoctoral Researcher, IDSIA &
Read MoretinyML EMEA 2022 Full Stack Solutions session Full-stack neuromorphic, autonomous tiny drones Federico PAREDES-VALLES, PhD Candidate, MAVLab, Delft University of
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