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AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.
Machine learning required enormously powerful computers capable of handling vast amounts of information. It takes millions of images of dogs for these algorithms to be able to tell a dog from a cat.
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Tampa Free Press on MSNAI-Powered Crime Prediction Explained
Explore how AI and machine learning are being used in crime prediction to allocate resources, prevent offenses, and the ...
Quantum machine learning algorithms represent an innovative approach that applies the principles of quantum computing to the field of machine learning.
An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.
Researchers developed metabolomic aging clocks using machine learning, uncovering links between metabolite profiles, health outcomes, and lifespan.
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