Ever-growing demand for artificial intelligence has motivated research on unconventional
computation based on physical devices. While such computation devices mimic brain …

We introduce what we believe to be a novel method to perform linear optical random
projections without the need for holography. Our method consists of a computationally trivial …

Machine learning hardware based on optical diffraction is emerging as a new computing
platform with high throughput and low latency. The current all-optical diffractive deep neural …

Backpropagation is the default algorithm for training deep neural networks due to its
simplicity, efficiency and high convergence rate. However, its requirements make it …

Modern machine learning relies nearly exclusively on dedicated electronic hardware
accelerators. Photonic approaches, with low consumption and high operation speed, are …

Alternatives to backpropagation have long been studied to better understand how biological
brains may learn. Recently, they have also garnered interest as a way to train neural …

Over the last decades, machine learning revolutionised our daily lives from recommendation
systems to image recognition, medical data analysis, text completion and translation, self …