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Computer

Uncertainty in Machine Learning and Future Computers

Shinya Takamaeda-Yamazaki

Published Mar 24, 2025• 0 citations
Publisher

Abstract

Unfortunately, computers are subject to uncertainty. If we can quantitatively evaluate the uncertainty in the output of ordinary computers, we can realize efficient and trustworthy computers that actively utilize fluctuating computation principles.
DOI
10.1109/mc.2025.3536056

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