Thermal noise in magnetic tunnel junctions, usually suppressed, now serves as a tunable source of randomness for Bayesian neural networks with dramatic efficiency gains over silicon.

Read more about Smart wearable tech with AI brings real-time performance insights to strength training on Devdiscourse ...

A new method for identifying types of plastics, built on advanced spectral imaging and machine learning, could make recycling ...

Look at the issue through a strategic lens. Investments made in continuous testing, detection mechanisms, and cross-model ...

Researchers developed MetaRing, a plasmonic biosensor that rapidly detects paclitaxel sensitivity in breast cancer. The platform delivers results in 10 minutes with over 92% accuracy, supporting ...

Researchers at Birla Institute of Technology-Mesra have developed a brain-computer interface (BCI) system that translates ...

A new meta-analysis of prospective studies finds artificial intelligence performs similarly to dermatologists in melanoma ...

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

PN junction diodes are the underpinning of modern optoelectronic systems. But, typically, they perform only a single task. To ...

An MSU-led team found promising therapeutics for two diseases that currently lack effective treatment, demonstrating how gene ...