Modern artificial intelligence systems rely on moving large amounts of data between memory and processors, a design that ...

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 ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

Optical neural computing harnesses the physical properties of light to perform neural network operations with unprecedented parallelism, speed and energy efficiency. By encoding weights and inputs ...

The (above) figure shows how light is focused into a tiny processing unit, allowing vast strings of computational information to be transferred without the use of energy-intensive circuitry. The other ...

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 ...

In a recent study published in Nature Photonics, a research team led by Lawrence Berkeley National Laboratory (Berkeley Lab), Columbia University, and Universidad Autónoma de Madrid developed a new ...

Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies. Fueled by metasurfaces and integrated ...

For the first time, an international cadre of electrical engineers has developed a new method for photonic in-memory computing that could make optical computing a reality in the near future. The team ...

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 ...