NetS3 Laboratory - Fondazione Istituto Italiano di Tecnologia (IIT)
Luca Berdondini was born in 1974, in Locarno (Switzerland). He currently leads the NetS3 Laboratory at the Fondazione Istituto Italiano di Tecnologia (IIT), an interdisciplinary research laboratory launched in 2008 to develop innovative CMOS-based neuroelectronic technologies for research in neuroscience and biomedical applications. Luca Berdondini received in 1999 a M.Sc. degree in microengineering from the Swiss Federal Institute of Technology of Lausanne (EPFL) with a Master Thesis at Caltech (USA). In 2003 he received a PhD on nano-/micro-fabricated interfaces and CMOS devices for electrophysiology (Samlab, EPFL, Switzerland). He is among the pioneers of CMOS-based multielectrode arrays for high-resolution electrophysiology, co-founder of 3Brain AG (Switzerland) and he has contributed to >70 publications and several patents.
GrAI Matter Labs and Western Sydney University
Jonathan Tapson was born in Zimbabwe in 1966 and attended the University of Cape Town, where he obtained Physics and Electrical Engineering undergraduate degrees, and a PhD in Engineering in 1994. He spent his early career doing sensor and instrumentation research, with a strong industrial focus. During this time he spun out three companies from his research, all of which are successful today. He became interested in Neuromorphic Engineering in 2004 and has since focused his research on neuromorphic sensors, computation, and algorithms. He moved to Western Sydney University in 2011 as a Professor of Engineering, and was the Director of WSU’s MARCS Institute for Brain, Behaviour and Development from 2014-2016. In 2019 he became the Chief Scientific Officer of GrAI Matter Labs, a new company doing AI hardware acceleration. Prof Tapson has authored over 170 peer-reviewed papers and a dozen patents.
Director of AI research at NVIDIA and an Assoc. Prof at the Gonda Brain Institute at Bar-Ilan University
Gal Chechik is a director of AI research at NVIDIA and an Assoc. Prof at the Gonda Brain Institute at Bar-Ilan University. His research spans learning in brains and machines, including large-scale learning algorithms for machine perception, and analysis of representation changes in mammalian brains. In 2018 Gal joined NVIDIA as a director of AI research, leading nvidia's research in Israel. Prior to that, Gal was a staff research scientist at Google Brain and Google research developing large-scale algorithms for machine perception, used by millions daily. Gal earned his PhD in 2004 from the Hebrew University, developing computational methods to study neural coding, and did his postdoctoral training at Stanford CS department. Since 2009, he heads the computational neurobiology lab at the Gonda center of Bar Ilan University. Gal authored more than 100 refereed publications and patents, including publications in Nature Biotechnology, Cell and PNAS.