Google's TabFM skips per-dataset training and still predicts on tables it's never seen

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
IEEE Spectrum on MSN

Large tabular models excel where LLMs fail

Startup’s foundation model NEXUS tackles spreadsheets, AI’s surprising final frontier ...
Finbold

Machine learning algorithm sets XRP price for July 31, 2026

As XRP faces continued volatility, Finbold's AI Agent projects limited upside for the cryptocurrency through the end of the ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Psychology Today

Could AI Predict Psychosis Before it Happens?

A new study published in Molecular Psychiatry demonstrates a new artificial intelligence (AI) machine learning algorithm developed by the University of Tokyo and their research colleagues that can ...