A single MXene-based optical gate switches between seven Boolean logic functions via voltage, enabling trainable photonic ...

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, they ...

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 ...

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 ...

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 ...

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 ...

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, ...

An improved model identifies power-reducing dust accumulation on photovoltaic modules, helping engineers know when the ...