In the post Moore's era, conventional electronic digital computing platforms have
encountered escalating challenges to support massively parallel and energy-hungry …

Optical computing has become emerging technology in next-generation efficient artificial
intelligence (AI) due to its ultra-high speed and efficiency. Electromagnetic field simulation is …

Diffractive optical neural networks (DONNs) have attracted lots of attention as they bring
significant advantages in terms of power efficiency, parallelism, and computational speed …

The wide adoption and significant computing resource cost of attention-based transformers,
eg, Vision Transformers and large language models, have driven the demand for efficient …

Analog computing has been recognized as a promising low-power alternative to digital
counterparts for neural network acceleration. However, conventional analog computing is …

Photonic tensor cores (PTCs) are essential building blocks for optical artificial intelligence
(AI) accelerators based on programmable photonic integrated circuits. PTCs can achieve …

Incoherent optical DNN accelerators (OAs) are booming thanks to unparalleled performance-
per-watt and excellent scalability. To boost their innovative development, a recent work …

Electronic-photonic integrated circuits (EPICs) offer transformative potential for next-
generation high-performance AI but require interdisciplinary advances across devices …

Remarkable breakthroughs but daunting complexities of deep learning have aroused
widespread interest in dedicated deep neural network (DNN) acceleration hardware, among …

Editor's notes: In this article, the authors develop a systematized framework to achieve
automated optical accelerator architecture search.—Mahdi Nikdast, Colorado State …