This article is the second installment in our three-part series, Artificial Intelligence as Intellectual Property or “AI as IP™”, which explores ...

Large language models are supposed to shut down when users ask for dangerous help, from building weapons to writing malware.

Discovery used to be pretty straightforward. Most of the data legal teams needed lived on email servers or shared drives, making it easy to find ...

The Eric and Wendy Schmidt Centre for Data Science & Environment has launched Kigali Sim, a free and open-source modeling ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

Researchers from the University of Oxford have benchmarked artificial intelligence (AI) tools capable of automatically ...

Realistic digital avatars are becoming increasingly relevant, for example in virtual and augmented reality applications, ...

To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" data recovery capabilities.

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data ...

One question we’ve been asked many times is whether ValuEngine stock ratings can be used for portfolio management or merely ...