A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...

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 ...

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

What appears as model bias is often a system-level issue. This phenomenon, known as AI bias propagation, is increasingly ...

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 ...

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 ...

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily ...