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

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.

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

While LLMs have been the most visible use case for generative AI, it is a mistake to believe LLMs are the end state for ...

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

Doctolib is collaborating with DFKI to improve the pseudonymization of patient data and, according to its own statements, ...

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 ...

RAISE focuses on improving race and ethnicity data collection to address healthcare disparities and unmet medical needs. The ...

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 ...

Humans are far closer to meerkats and beavers for levels of exclusive mating than we are to most of our primate cousins, ...

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.