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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Artificial intelligence/machine learning-driven modeling reduces time to market for faster design technology co-optimization development..
Keysight Technologies has launched a new Machine Learning Toolkit within its Device Modelling Software Suite, designed to ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
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Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
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