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CEF Seminar with Dr Julie Grollier
March 25 @ 1:00 pm - 2:00 pm
Join us as Dr Julie Grollier talks to us about her exciting with with Thales.
Physics for Neuromorphic Computing
This talk will show how the joint development of new materials, nanodevices and algorithms, is essential for the development of smart and environmentally friendly chips, which inherently learn from their physics (1).
The goal of neuromorphic computing is to take inspiration from the architecture of the brain to build a low-power circuit for artificial intel-ligence. First a brief overview of the state of the art of neuromorphic computing will be given, highlighting the opportunities offered by emerging nanodevices in this field, and the related challenges. Then, it will be shown how physics can be exploited at the algorithm and de-vice level to solve these challenges and unlock learning on a chip.
The need for this material-algorithm co-development will be illustrat-ed through examples on an algorithm called Equilibrium Propagation that minimizes both error and energy of a dynamic system (2), and through the implementation of spintronic neural networks that com-municate through radio-frequency waves (3, 4).
1. D. Marković, A. Mizrahi, D. Querlioz, J. Grollier, Nature Reviews Physics, 1–12 (2020).
2. M. Ernoult, J. Grollier, D. Querlioz, Y. Bengio, B. Scellier, in Advances in Neural Information Processing Systems 32, pp. 7081–7091.
3. J. Torrejon et al., Nature. 547, 428–431 (2017).
4. M. Romera et al., Nature. 563, 230 (2018).