Artificial intelligence and neuromorphic computing driven by neural networks has enabled
many applications. Software implementations of neural networks on electronic platforms are …

In the context of a doomed end of the Moore's law, various new types of computing
architectures have been emerging, aiming to meet the demands of intractable computation …

Software implementations of brain-inspired computing underlie many important
computational tasks, from image processing to speech recognition, artificial intelligence and …

Photonic neural networks have significant potential for high-speed neural processing with
low latency and ultralow energy consumption. However, the on-chip implementation of a …

On-chip photonic processors for neural networks have potential benefits in both speed and
energy efficiency but have not yet reached the scale at which they can outperform electronic …

Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …

Artificial intelligence enabled by neural networks has enabled applications in many fields
(eg medicine, finance, autonomous vehicles). Software implementations of neural networks …

Since the invention of the laser, it has been known that light can carry information. Light
beams can be mixed and processed at speeds that far exceed those of electronics, an …

Artificial neural networks are computational network models inspired by signal processing in
the brain. These models have dramatically improved performance for many machine …

Over the past decade, progress in digital electronic computing systems has slowed as
traditional, transistor-based silicon technologies approach their scaling limits. Quantum …