There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
Researchers developed a system that streamlines the process of federated learning, a technique where users collaborate to train a machine-learning model in a way that safeguards each user's data. The ...
Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...
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The vulnerabilities of machine learning models open the door for deceit, giving malicious operators the opportunity to interfere with the calculations or decision making of machine learning systems.
Being able to explain how machine learning models work has been a point of contention since the technology’s inception. Bloomberg is set to release further empirical metrics, at the end of this year, ...