Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD ...
The difference between AI success and failure often comes down to five strategic choices that leaders make about their data ...
Canceled grants include data-focused clean air and water projects, predictive models for chemical testing and more.
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Genetic inflammatory signature defines depression subtypes and treatment response
Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory signature that defines specific depression subtypes and influences how patients respond ...
Biu (pseudonym), a patient living with hypertension and diabetes, was hospitalized earlier this year after experiencing sudden chest tightness. During his stay, medical professionals discovered that ...
Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory ...
A research team at the University of Arizona has developed a light-based imaging technique that can distinguish healthy from ...
For centuries, the scientific study of microorganisms, microbial activities, and infectious diseases has fascinated and puzzled researchers. These studies on the harmful effects of microbial ...
Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
6don MSN
Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...
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