Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Defections, secret conversations, deal talks that fizzled and a battle for control: The turmoil at Thinking Machines Lab is the artificial intelligence industry’s latest drama.

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Modern AI began with open source, and it ran on Linux. Today, Linux isn't just important for artificial intelligence; it's the foundation upon which today's entire modern AI stack runs. From ...

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

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

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

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

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

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.

The idea that the cosmos might be alive is moving from late-night speculation into serious, if controversial, scientific ...