In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Generative AI tools are making unauthorised use of vast amounts of copyrighted material, challenging traditional notions of ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Released every 12 to 18 months, 3D NAND scaling outpaces most other semiconductor devices in replacement rate and performance ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Artificial intelligence (AI), using a simple blood test combined with standard brain images has, for the first time, been ...