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Neuromorphic Computing and Nanotechnologies
Neuromorphic Computing and Nanotechnologies: How far could artificial intelligence go?
seminar from group Science, Reason and Faith.
Bernabé Linares-Barranco. Pamplona, November 19, 2019
Bernabé Linares-Barranco is graduate in Electronic Physics from the University of Seville and holds a PhD from the same university and from Texas A&M University. He has been Visiting Professor at Johns Hopkins University and Texas A&M University. He is currently director of the high school de Microelectrónica, a joint centre of the University of Seville and the committee Superior de Investigaciones Científicas.
He has been involved in the design of circuits for telecommunications, biological neuron emulators, neural network-based pattern recognition systems, hearing aids, design of precision circuits for instrumentation equipment and, in the last 20 years, he has worked especially with neuromorphic circuits and systems, with an emphasis on vision and the exploitation of nanoscale report devices for learning. He is co-founder of two start-ups, Prophesee SA and GrAI-Matter-Labs SAS, both on neuromorphic hardware. He was one of the winners of the award IEEE Transactions on VLSI Systems (1997) and the award Darlington IEEE Transactions on Circuits and Systems (2000). Since 2010 he is publisher associate of the journal "Frontiers in Neuromorphic Engineering", as part of the open access publication series"Frontiers in Neuroscience". He was publisher invited lead author of the special issue of IEEE Transactions on Neural Networks on "Hardware Neural Network Implementations" and co-author of the book "Adaptive Resonance Theory Microchips".
summary:
We are currently witnessing a new resurgence of artificial intelligence (a term first used in 1956), thanks to the combination of insights from biological neuroscience, computational neuroscience, and the availability of improved computational resources thanks to advances in nanotechnologies. In this talk we will discuss how neuroscience knowledge can be combined with new nanotechnology techniques to build physical systems that "sense" and compute by mimicking the brain, in particular the vision system. This line of research, referred to by many as "neuromorphic engineering" or "neuromorphic computing", is a small but promising new development in the current stream of the new resurgence of Artificial Intelligence.
More information:
Frontiers in Neuromorphic Engineering", part of the open access journal series "Frontiers in Neuroscience".