Saria is director of the Johns Hopkins Machine Learning and Healthcare Lab. Bayesian's technology, which received an FDA ...

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Today, most investment firms use AI to assist human managers, providing data or suggestions for them to act on. BAILA represents a new category of AI-Managed Investing, where the AI makes the ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

IBS Intelligence (IBSi) is the world’s only pure-play Financial Technology focused research, advisory, and fintech news analysis firm, with a 30-year track record and clients globally. We take pride ...

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

Stanford University is offering an online graduate course Artificial Intelligence: Principles and Techniques to provide students with complete knowledge of curr ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

The world's most critical challenges are accelerating at a rapid pace. The R&D methods tasked with solving them are not—until ...