Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...
Traders in companies with ties to the president’s eldest son can bet on the outcome of events the president affects.
New CLASSIC technique uses AI and massive DNA libraries to predict genetic circuit performance faster and more accurately.
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...
Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Abstract: Accurate rainfall prediction was essential for effective water resource management and disaster preparedness, especially in regions with limited observational data such as Afghanistan. This ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
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