This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

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

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 ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

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

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...

Discover the impact of digital pathology on drug discovery and biomarker research this International Women’s Day with Dr ...

Researchers at Academia Sinica and National Taiwan University Hospital have developed an AI-powered blood test that detects early-stage pancreatic cancer with near-perfect accuracy in validation ...