Precision Scaling
Precision Scaling is a methodological framework in digital signal processing that systematically adjusts the numerical precision of signal representations to optimize computational efficiency and accuracy within constrained hardware environments.
125
Publications
5K
Citations
465
Authors
173
Institutions
Publications per year
2017–2026
60
125
Training Deep Neural Networks with 8-bit Floating Point Numbers
Naigang Wang, Jungwook Choi, Daniël Brand et al. · arXiv (Cornell University) · 2018 · 207 citations · Full text
Criticality-Enhanced Quantum Sensing via Continuous Measurement
Theodoros Ilias, Dayou Yang, Susana F. Huelga et al. · PRX Quantum · 2022 · 157 citations · Full text
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173
Nanjing University
Nanjing, China
5 h-index
24 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
244 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
18 publications
904 citations
Seoul National University
Seoul, South Korea
4 h-index
8 publications
463 citations
Tsinghua University
Beijing, China
4 h-index
25 publications
681 citations

McGill University
Montreal, Canada
3 h-index
5 publications
82 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
7 publications
138 citations
University of California, Irvine
Irvine, United States
3 h-index
5 publications
138 citations
1–8 of 173
Repository · 8 publications · 416 citations
8
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PRL · 7 publications · 297 citations
7
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6 publications · 195 citations
6
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4 publications · 328 citations
4
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2 publications · 27 citations
2
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