An AI neural network that uses light instead of electricity. Optical neural networks (ONNs) offer the potential for higher speed because regular chips can only trigger a limited number of transistors ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, ...

Convolutional Neural Networks (CNNs), with its exceptional image recognition capabilities, have performed outstandingly in the field of AI and notably within platforms like ChatGPT. Recently, a team ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...

Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating neural computation principles with nanostructured optics to create a ...

The first to attempt to calculate the speed of light was made in 1638, albeit unsuccessfully, by the “polymath from Pisa” Galileo Galilei, an Italian physicist, astronomer, natural philosopher, ...

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 ...

The radiative transfer equations are well known, but radiation parametrizations in atmospheric models are computationally expensive. A promising tool for accelerating parametrizations is the use of ...