We present evidence that prioritizing minimal out-of-sample error, identified through cross-validation and stochastic ensemble methods, in PMT tool development can substantially improve the ...

Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it ...

Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer Frederic Lardinois 10:00 AM PDT · November 2, 2024 ...