Towards scalable neural network processors

Special Solid State & Optics Seminar Series

sponsored by “The Flint Fund Series on Quantum Devices and Nanostructures”

Tuesday, February 11, 2020

11:00am

Mann Engineer Student Center - Room 107

(located in Dunham Lab – 10 Hillhouse Ave)

Prof. Daniel Brunner

Optics Department, FEMTO -ST Institute, 15B Avenue des Montboucons, 25030 Besançon, France

Towards scalable neural network processors

In recent years, neural networks have significantly shifted the limits of what is computationally possible. Today, these algorithms offer a practical approach to solve complex computational problems that were out of reach of classical, algorithmic programming. Inspired by the human brain, neural networks mold their neurons’ nonlinear transformations into a computational result according to the network’s connections. In such a setting, most programming corresponds to modifying connections simply by comparing a network’s current output to the correct result available from example data.

The hardware equivalent of such computation quite literally is a large network of nonlinear elements, with connections modified during a period of learning. Such a neuromorphic processor strongly differs from the von Neumann computing architecture and integrating the large number of parallel network connections in a physical substrate is a fundamental challenge that remains to be solved. Beyond the technological, neuromorphic hardware raises numerous other fundamental questions with respect to stability, reproducibility and how learning is best to be embedded in a physical system. I will discuss what might be lacking in today’s approach to the challenge and will present our results in photonic integration of parallel neural networks, in noise propagation and learning algorithms.

Hosted: Prof. Hui Cao

Applied Physics

Yale University

Event time: 
Tuesday, February 11, 2020 - 11:00am
Sponsor: 
The Flint Fund Series on Quantum Devices and Nanostructures”
Presented By: 
Daniel Brunner
Department: 
Optics Department, FEMTO -ST Institute, 15B Avenue des Montboucons, 25030 Besançon, France
Hosted By: 
Prof. Hui Cao