Chinese Scientists Use Digital Twins to Streamline AI Training on Light-Based Systems ...

While optical computing systems (OCS) with high bandwidth, low latency, and inherent parallelism are promising accelerators for artificial ...

Optical neural networks (ONNs) promise computing efficiency beyond microelectronics for modern artificial intelligence (AI). Current ONNs using analog matrix-vector multiplication (MVM) ...

The rapid growth in artificial intelligence and modern communication systems demands innovative solutions for increased computational power and advanced signalling capabilities. Integrated photonics, ...

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 ...

Optical systems are becoming essential to modern computing as data centers require faster transmission, stronger connectivity ...

The idea of optical computing—the use of photons instead of electrons to perform computational operations—has been around for decades. However, interest has resurged in recent years; the potential for ...

A computer that uses light rather than digital switches for calculations could help reduce the energy demands of artificial intelligence (AI), according to a new study. The scientists who invented the ...

Research on ONNs began as early as the 1960s. To clearly illustrate the development history of ONNs, this review presents the evolution of related research work chronologically at the beginning of the ...

Although computers are overwhelmingly digital today, there’s a good point to be made that analog computers are the more efficient approach for specific applications. The authors behind a recent paper ...

Want to call someone a quick-thinker? The easiest cliché for doing so is calling her a computer – in fact, “computers” was the literal job title of the “Hidden Figures” mathematicians who drove the ...

But shuttling data between the processor and memory eats up time and energy, particularly for data-hungry artificial-intelligence (ai) models. An analysis by Amir Gholami and colleagues at the ...