Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

A research team led by professor Olivia Merkel, Chair of Drug Delivery at LMU and co-spokesperson of the Cluster for Nucleic ...

Genesis Molecular AI appoints Sergey Edunov as Senior Vice President of Foundation Models, further strengthening leadership ...

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

The National Hurricane Center tested Google DeepMinds' capabilities.

Deep.Meta, a pioneering manufacturing start-up, has proven it can reduce steel production emissions by close to 10 % at ...

Moving from 3-axis to 5-axis machining? Yeah, it’s a big jump. And honestly, the hardest part isn’t learning new G-codes or figuring out your CAM software—it’s wrapping your head around how these ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like resistivity or thermal conductivity are a starting point, but these ...

In this four-year PhD project, you will develop real-time machine-learning systems for the analysis of fluorescence-guided endoscopic videos. Your primary goal is to design and evaluate machine ...

Validated by early deployments at leading semiconductor companies, Vinci’s physics-driven AI software operates up to 1000x ...

Funding pressures are a major driver: among graduate physics programs that intentionally planned to enroll fewer students in ...