Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...

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

Understanding how the brain works requires more than studying single regions in isolation. The cerebral cortex depends on ...

A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...

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 ...

Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields. These include exploring the responses of brain tissue to drugs, investigating ...

A research team led by Professor Han Zhang at Shenzhen University has pioneered a novel optical neural network that learns like a living organism—without relying on traditional computing algorithms.

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ...