Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

At the AI Summit and Awards 2026, Vicky Nanda, COO of Niramai, delivered an in-depth session on how artificial intelligence ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Health technology company alveos has developed a new mechano-acoustic sensing method designed to monitor human breathing by detecting subtle chest vibrations ...

Breville Bambino Plus leads our picks for 2026. We tested top models for quality, value, and ease of use in real kitchens.

Mukherjee believes the health industry saw a market fit in preaching an approach, but that must change for a holistic one.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...