A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Discover how cfDNA fragmentome tests could help detect liver disease early and track health. Learn more about this emerging ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Yubi-backed YuVerse positions itself as a last-mile AI orchestration layer, embedding multimodal intelligence into enterprise ...

When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that with surprising precision, sending targeted feedback to individual neurons ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Astronomy is generating data faster than any single research team can process it, and the instruments responsible are only getting larger. Surveys now routinely produce catalogs measured in billions ...

What appears as model bias is often a system-level issue. This phenomenon, known as AI bias propagation, is increasingly becoming a critical concern for enterprises scaling AI across products, ...

While many advocate that oversight of AI analyses of lab data be handled through CLIA, some stakeholders say that FDA should play a role.

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in which we can improve their training to avoid having them develop these ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...