We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Lewis Wallis and Dr Samuel Dicken review 2025 developments in ultra-processed foods (UPF) and high fat, sugar and salt (HFSS) ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

Researchers have developed a generative AI system called CytoDiffusion that can analyze blood cells with a level of precision that rivals, and in some cases exceeds, human experts.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...