This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
The firm has added eight new partners in finance and restructuring, corporate and transactional, and business litigation in the past year. The New York Senate committee hearing on AI regulation ...
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