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Teaching AI models to say 'I'm not sure' in cases of calibration errors
Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...
Abstract: This paper presents a framework based on the logarithmic number system to implement adaptive filters with error nonlinearities in hardware. The framework is ...
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