Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

EPFL The Board of the Swiss Federal Institutes of Technology has announced the appointment of professors at EPFL.New appointments at EPFL © ...

Locai Labs and First Light Fusion have agreed to study AI applications in high-energy physics and fusion research.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A common type of error-correcting mechanism in biology is called kinetic proofreading. For example, if errors turn up when cells are making new DNA, enzymes can cut out incorrect nucleotides. They can ...

Intelligent Audit earns top industry recognition for DeepDetectAI’s role in advancing accuracy, fraud detection, and ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...

For Florida residents who grew up during the golden age of arcades, Silverball offers a powerful dose of nostalgia that hits ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Kinematic modeling is central to understanding and interpreting motion across both biological and artificial systems. Traditionally underpinned by ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...