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 ...

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 ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

In this special episode, we welcome Zack Kass, one of the world’s leading artificial intelligence futurists, to discuss hype, ...

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.

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Key opportunities in the data science platform market lie in expanding cloud deployments, growing demand in logistic applications due to e-commerce, and the rising need in the BFSI sector for risk ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...