AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...
When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs -- but memory is an increasingly ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...
Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
UNSW researchers have developed an intrinsic-adjusted single-diode model that explicitly accounts for radiative and Auger recombination, improving I–V curve accuracy and reducing root mean square ...
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