Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

A decade ago, the NFL’s “Next Gen” journey started with hardware. The league embedded RFID chips into every player’s shoulder ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

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 ...

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 AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Abstract: Background: Late-onset neonatal sepsis (LONS), which occurs 72 hours after birth, remains a major cause of neonatal morbidity and mortality, particularly in resource-constrained settings.