As fast as modern electronics have become, they could be much faster if their operations were based on light, rather than ...

Engineers develop multifunctional, reconfigurable component of an optical computing system that could be a game changer in ...

Using a high-risk, high-reward research strategy, Gu’s research group has made progress in developing new chip designs and applying unique materials for a wide range of optical communication, sensing ...

Optical computing offers speed, parallelism, and energy efficiency. But memory limitations, infrastructure incompatibilities, ...

It introduces some concepts to the field of optical computing that might make it more appealing for implementation in next-generation computing devices. Increasingly complex applications such as ...

neuromorphic computing and artificial intelligence, and ultrafast optical wavefront measurement. For the spatial modulation of light in nanoscale, in recent years some new optical devices such as ...

As fast as modern electronics have become, they could be much faster if their operations were based on light, rather than electricity. Fiber optic ...

Optical materials are substances used to manipulate light for applications in fields like telecommunications, medical devices ...

“We use the concept of clock period to mean the minimum time between successive computer operations.” The researchers use their device to demonstrate a number of standard tasks for a neural network, ...

Twisted moiré photonic crystals—an advanced type of optical metamaterial ... "These devices could be used for a range of applications including quantum computing, data communications ...

At the heart of this new computer is an optical implementation of a recurrent neural network. The device operates entirely within the optical domain, utilizing laser pulses to process data.

Current computer chips operate at gigahertz speeds – billions ... Current methods require complex combinations of electrical, thermal, and optical controls, making devices bulky and slow to respond.