Ferroelectric NAND for efficient hardware bayesian neural networks

Ferroelectric NAND for efficient hardware bayesian neural networks

Abstract The rapid advancement of artificial intelligence has enabled breakthroughs in diverse fields, including autonomous systems and medical diagnostics. However, conventional deterministic neural networks struggle to capture uncertainty, limiting their reliability when handling real-world data,...

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Main Authors: Minsuk Song, Ryun-Han Koo, Jangsaeng Kim, Chang-Hyeon Han, Jiyong Yim, Jonghyun Ko, Sijung Yoo, Duk-hyun Choe, Sangwook Kim, Wonjun Shin, Daewoong Kwon
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-61980-y
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https://doi.org/10.1038/s41467-025-61980-y

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