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tinyML Neuromorphic Engineering Forum
tinyML is a fast-growing initiative around low-power machine-learning technologies for edge devices. The scope of tinyML naturally aligns with the field of neuromorphic engineering, whose purpose is to replicate and exploit the way biological systems sense and process information within constrained resources.

In order to build on these synergies, we are excited to announce the first tinyML Forum on Neuromorphic Engineering. During this event, key experts from academia and industry will introduce the main trends in neuromorphic hardware, algorithms, sensors, systems, and applications.

Sep 27, 2022 08:00 AM in Pacific Time (US and Canada)

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Charlotte Frenkel
Chair of TPC @Delft University of Technology
Charlotte Frenkel received the Ph.D. degree from Université catholique de Louvain (UCLouvain), Belgium, in 2020. After a postdoc at the Institute of Neuroinformatics, UZH and ETH Zürich, Switzerland, she joined Delft University of Technology, The Netherlands, as an Assistant Professor in July 2022. Her research focuses on neuromorphic integrated circuit design and learning algorithms for adaptive edge computing. She received a best paper award at the IEEE ISCAS 2020 conference, as well as the FNRS Nokia Bell Labs Scientific Award, the FNRS IBM Innovation Award and the UCLouvain/ICTEAM Best Thesis Award for her Ph.D. thesis. She serves as a TPC member for the tinyML Research Symposium and for the IEEE ESSCIRC, ISLPED, and DATE conferences.