In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
The goal of an effective motor overload protection scheme is to protect the motor from damage while allowing it to operate normally up to its thermal limit. Ideally such a scheme would be based on a ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
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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 ...
Despite recent advances in musical signal processing, little attention has been given to the demands of nontechnical stakeholders. The reduction of ...
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