In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

Multimorbidity (MM), the presence of two or more chronic conditions, is increasingly common in clinical practice. Recent ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...

Using detailed surveys and machine learning computation, new research co-authored at UC Berkeley's Center for Effective Global Action finds that eradicating extreme poverty would be surprisingly ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Wilmington, Delaware - February 03, 2026 - PRESSADVANTAGE - PSCI shared perspective on staffing and consulting ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

New research shows mutual funds using machine learning strategies generate significant outperformance over traditional funds ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.