a) Conceptual diagram of the on-chip optical processor ... undo the channel mixing in the optical domain. However, the gradient descent algorithms need to update variables one by one to calculate ...

In this paper, we propose a novel analog accelerator architecture designed for AI/ML training workloads using stochastic gradient descent with L2 regularization (SGDr). The architecture leverages ...

It's a good spot from which to reflect on the mathematical tool called "stochastic gradient descent," a technique that is at the heart of today's machine learning form of artificial intelligence.