A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
The harder question now is supervisory: how can regulators see, interpret and supervise digital asset activity across users, ...
According to MarketsandMarkets™, the Artificial Intelligence in Healthcare Market is projected to grow from about USD 36.67 ...
Making Obstetrics Care Smart (MOCS) program has awarded Children's Hospital of Philadelphia (CHOP), as part of a 9-institution team led by Carnegie Mellon University, a four-year award of ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Marine Logistics Group benefits from having Maj. Nickolas Mohr on staff to apply his master’s degree in computer ...
Tesla last year launched the first version of its full self-driving (FSD) supervised software in the Australian market for select hardware-equipped vehicles. That was under version 13 of the software ...
Abstract: In high-risk IoT-enabled Industrial Environments such as oil and gas industries, early and accurate fire detection is crucial to prevent catastrophic damage. Traditional fire detection ...
Abstract: Scientific machine learning and physics-informed neural networks are novel conceptual approaches that integrate scientific knowledge with methods from data science and deep learning. This ...
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