Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Princeton University

Seven faculty members win Sloan Research Fellowships for early-career researchers

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...
UC San Diego Today

Four UC San Diego Faculty Earn Prestigious 2026 Sloan Research Fellowships

University of California San Diego faculty members Valentina Di Santo, Fleur Ferguson, Mattia Serra and Hao Zhang have been named 2026 Sloan Research Fellows, an honor given by the Alfred P. Sloan ...

Closing the Intent-to-Execution Gap May Define Next Wave of AI Investment

As artificial intelligence (AI) evolves beyond generative chat systems into agentic AI capable of autonomous action, a critical bottleneck has emerged: the lack of high-fidelity, real-time input ...
The Guardian Nigeria

From edge devices to enterprise security, an engineer’s vision for trustworthy machine learning is setting new benchmarks

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...
EurekAlert!

From leaf images to genomes: deep learning reshapes pest-resistant breeding

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.
Boise State University

Nelson presents on AI in research and education at national workshop

The poster highlights an NSF award shared by Nelson and Casey Kennington, Boise State University Foundation Board Endowed Professor of Computer Science, and showcases their progress in expanding ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Psychology Today

AI Foundation Model Predicts Diseases From Brain Scans

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
IEEE

Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review

Abstract: According to the World Health Organization (WHO), some chronic diseases such as diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are essential for early ...
IEEE

Improving Clinical Foundation Models with Multi-modal Learning and Domain Adaptation for Chronic Disease Prediction

Abstract: Modelling patient trajectories from longitudinal electronic health records (EHRs) is crucial for early chronic disease prediction. Foundation models (FMs), benefiting from the computational ...