Papers matching “machine learning accelerators” 34
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Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review2023 International Conference on Neuromorphic Systems (ICONS) conference-paper Engineering Advanced Memory and Neural Computing Open access
Jamie Lohoff, Zhenming Yu, Jan Finkbeiner, Kenneth Michael Stewart, Hin Wai Lui, Emre Neftci
6citations -
Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches2024 Materials and Structures article Engineering Concrete and Cement Materials Research Open access
Anya Vollpracht, Gregor J. G. Gluth, Bart Rogiers, Ikenna D. Uwanuakwa, Quoc Tri Phung, Yury Villagrán Zaccardi, +10 more
30citations -
Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part I: Programming Techniques2021 IEEE Transactions on Electron Devices article Engineering Advanced Memory and Neural Computing Open access cited by 2 patents
Giacomo Pedretti, Piergiulio Mannocci, Can Li, Zhong Sun, John Paul Strachan, Daniele Ielmini
26citations -
Tree-based machine learning performed in-memory with memristive analog CAM2021 Nature Communications article Engineering Advanced Memory and Neural Computing Open access cited by 5 patents
Giacomo Pedretti, Catherine E. Graves, Sergey Serebryakov, Ruibin Mao, Xia Sheng, Martin Foltín, +2 more
2citations -
Machine learning-driven discovery of high-performance MEMS disk resonator gyroscope structural topologies2024 Microsystems & Nanoengineering article Engineering Advanced MEMS and NEMS Technologies Open access
Chen Chen, Jinqiu Zhou, Hongyi Wang, Xinyue Song, Jianbing Xie, Thomas Bäck, +1 more
23citations -
Development of a semi-automated data acquisition and processing architecture for machine learning applications in grinding2026 Journal of Intelligent Manufacturing article Engineering Advanced machining processes and optimization Open access
Eike Reuter, Björn Killich, Peter Breuer, Sebastian Prinz, Thomas Bergs
1citations -
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks2022 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Engineering Advanced Memory and Neural Computing Open access
Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
5citations -
Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part II: Applications and Benchmark2021 IEEE Transactions on Electron Devices article Engineering Advanced Memory and Neural Computing Open access
Giacomo Pedretti, Piergiulio Mannocci, Can Li, Zhong Sun, John Paul Strachan, Daniele Ielmini
11citations