Mental math's shortcut—pupil dilation suggests people start solving before all numbers are in

People often solve simple arithmetic problems, such as basic addition, subtraction, multiplication or division, in their ...
VnExpress International on MSN

Meet renowned US-based statistics and computer science expert who joins Fields Medalist Ngo Bao Chau to mentor Vietnamese math talents

Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...
Morning Overview on MSN

Gravitational-wave data suggests 3 distinct populations of merging black holes

Not all black hole collisions are created equal. A new analysis of the latest gravitational-wave detections has found that ...
Robohub

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

AIhub is excited to launch a new series, speaking with leading researchers to explore the breakthroughs driving AI and the ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
eLife

Audiovisual congruency drives confidence in presence and absence

Detection decisions (red for absence, blue for presence) are based on the disjunctive integration rule (disjunction and negation of disjunction). Confidence decisions (dashed line for not sure, full ...
Thorax

At-risk registers integrated into primary care to stop asthma crises in the UK: cluster randomised controlled trial with economic evaluation

Background A regional trial indicated that implementing at-risk asthma registers in primary care could reduce hospital ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...