MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Neural DSP has invented a special amp capturing machine, TINA, to do so, and Vox’s new Valvetronix amps prove that hybrid, ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

Alex LeBrun, cofounder of medical scribe startup Nabla who LeCun hired to be the CEO of Advanced Machine Intelligence, thinks ...

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...

Artificial intelligence/machine learning-driven modeling reduces time to market for faster design technology co-optimization development..

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...