Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
The Opioid Risk Tool for Opioid Use Disorder may help identify patients with chronic noncancer pain at increased risk for OUD ...
The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...
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