The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

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 ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

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

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

While homeowners do everything they can to protect their homes from a winter freeze, how do their appliances hold up? “This weekend in Texas, do not do your laundry,” Instagram user J.R. Minton said ...