Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is ...
UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations take shape ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Objectives This study was to estimate the potential social value and net benefit of OpenUp, a 24/7 text-based online counselling service for youth in Hong Kong, and draw policy-relevant conclusions ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
A major artificial-intelligence conference has rejected 497 papers — roughly 2% of submissions — whose authors violated ...
The weird, rare, surprising patterns that make data rich slowly get smoothed out when an AI model trains on outputs from a ...
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'When is it enough?': Lawmakers advance bill criminalizing using the bathroom of another gender
The House Judiciary, Rules and Administration committee voted 10-5 Wednesday to advance a bill that would create criminal penalties for individuals who enter restrooms or changing facilities that do ...
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