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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 ...
The development hasn’t been straightforward. Early versions of the algorithm struggled with shadows and confused driftwood ...
Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI ...
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