CMOS plus stochastic nanomagnets enabling heterogeneous computers for probabilistic inference and learning
Abstract Extending Moore’s law by augmenting complementary-metal-oxide semiconductor (CMOS) transistors with emerging nanotechnologies (X) has become increasingly important. One important class of problems involve sampling-based Monte Carlo algorithms used in probabilistic machine learning, optimiza...
Main Authors: | Nihal Sanjay Singh, Keito Kobayashi, Qixuan Cao, Kemal Selcuk, Tianrui Hu, Shaila Niazi, Navid Anjum Aadit, Shun Kanai, Hideo Ohno, Shunsuke Fukami, Kerem Y. Camsari |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-03-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-024-46645-6 |
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