By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

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 ...

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 ...

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

Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...

Google has taken a big leap forward with the speed of its machine learning systems by creating its own custom chip that it’s been using for over a year. The company was rumored to have been designing ...

Demand for machine learning is skyrocketing. This growth is driven not only by “middle adopters” recognizing the vast potential of machine learning after watching early adopters benefit from its use, ...

Every day, thousands of marines perform routine data-collection tasks and make hundreds of data-based decisions. They compile manning data on whiteboards to decide to staff units, screenshot weather ...

Being able to explain how machine learning models work has been a point of contention since the technology’s inception. Bloomberg is set to release further empirical metrics, at the end of this year, ...