Detroit-based technology firm Riemann Computing has debuted OpenPeer AI, an open-source family of machine learning models ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
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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 ...
Keysight Technologies, Inc. (NYSE: KEYS) today announced the release of the new Machine Learning Toolkit in the latest ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
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