Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
KV, a low-rank KV cache compression method achieving up to 20x reduction, with the paper selected as a Spotlight at ICML 2026 ...
Beyond Installation, Operational, and Performance Qualifications: A Risk-Based Validation Framework for AI-Driven Software in ...
Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
If you liked this story, share it with other people. A recent study created a machine-learning program that estimated the amount of carbon dioxide already stored, and sequestered annually, by ...
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