Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...