A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National Laboratory and Texas A&M University are embracing uncertainty, using it to ...

South Korea's evolving privacy framework pushes data-use boundaries by operationalizing pseudonymization for AI development.

Anthropic is reportedly preparing Claude Opus 4.7 as it accelerates its AI release cycle, alongside new tools that could ...

NHTSA complaint data ranks the Tesla Model S as the most complained-about vehicle at 177.6 per 10,000 sold. But six of the ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

Hyundai has evolved from a budget-focused brand into a leader in cutting-edge design and electrification tech. In the process ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Programmers learning Rust struggle to understand own\x02ership types, Rust’s core mechanism for ensuring memory safety ...