A body of trustworthy AI research addresses interpretability, privacy, and robustness through rule-based modeling, ...
Federated learning is an emerging paradigm in which multiple participants collaboratively train machine-learning models without exchanging raw data. Instead, each participant computes local model ...
The reliance on public data — mostly web data — to train AI is holding back the AI field. That’s according to Daniel Beutel, a tech entrepreneur and researcher at the University of Cambridge, who ...
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