Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
We're living through one of the strangest inversions in software engineering history. For decades, the goal was determinism; building systems that behave the same way every time. Now we're layering ...
Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...
In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...
Harry Folloder, Chief Digital & Technology Officer at Alorica, brings a blend of technical acumen and people-centric leadership to his role, having served in senior digital product and ...
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