Still, using optical computing in artificial intelligence is an emerging field of study. There are real challenges in getting ...

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor processing by enabling a single light source to perform multiple operations ...

Computing is hitting a physical and economic wall just as generative artificial intelligence explodes in complexity and cost.

Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that ...

Semiconductor chips that process light rather than electricity could boost processing speeds and reduce energy use.

As the realm of computing continues to evolve, the integration of optical technologies has emerged as a groundbreaking frontier, presenting new paradigms for processing and information transfer.

China is accelerating efforts in optical computer chips to overcome chip restrictions and lead the next wave of AI innovation ...

The advent of big data era raising significant challenges in information processing, especially in the aspect of capacity and power consumption. Situations become even worse when we consider the fact ...

Increasingly complex applications such as artificial intelligence require ever more powerful and power-hungry computers to run. Optical computing is a proposed solution to increase speed and power ...

(Nanowerk Spotlight) Optical information processing is a critical technology for applications ranging from machine vision to high-speed optical communication. However, current photodetection systems ...

Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, cutting power use and complexity. (Nanowerk News) The rapid growth of ...

A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...