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In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.
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Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...
The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...
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Tech Xplore on MSNA thermodynamic approach to machine learning: How optimal transport theory can improve generative modelsJoint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...
A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.
Hikers on the Konza Prairie may look up this summer and see something unusual in the air. K-State researchers are employing ...
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Tech Xplore on MSNNew algorithm enables efficient machine learning with symmetric data structuresIf you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
With generative AI tools becoming commonplace in schools and universities, educators and policymakers are increasingly ...
Deep learning using multimodal MRI can distinguish Parkinson’s disease from multiple system atrophy with high accuracy, ...
“ EX.CO ’s AI taxonomy solution has allowed us to deeply tag our extensive video library with a fraction of the necessary ...
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