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Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing

• Authors : Knunyants, Ivan; Tavakol, Maryam; Sifalakis, Manolis

Subjects: Computer Science - Neural and Evolutionary Computing; Computer Science - Artificial Intelligence; Computer Science - Hardware Architecture

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Evaluation of fluxon synapse device based on superconducting loops for energy efficient neuromorphic computing

• Authors : Ashwani Kumar; Uday S. Goteti; Ertugrul Cubukcu

Subjects: neuromorphic computing; superconducting loops; Josephson junctions

• Source: Frontiers in Neuroscience, Vol 19 (2025)

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Quantum materials for energy-efficient neuromorphic computing

• Authors : Hoffmann, Axel; Ramanathan, Shriram; Grollier, Julie

Subjects: Computer Science - Emerging Technologies; Condensed Matter - Materials Science; Computer Science - Neural and Evolutionary Computing

• Source: APL Materials 10, 070904 (2022)

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An Adiabatic Capacitive Artificial Neuron with RRAM-based Threshold Detection for Energy-Efficient Neuromorphic Computing

• Authors : Maheshwari, Sachin; Serb, Alexander; Papavassiliou, Christos

Subjects: Computer Science - Neural and Evolutionary Computing

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sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge

• Authors : Koo, Minsuk; Srinivasan, Gopalakrishnan; Shim, Yong

Subjects: Computer Science - Emerging Technologies; Computer Science - Hardware Architecture

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A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing

• Authors : Han Xu; Dashan Shang; Qing Luo

Subjects: Science

• Source: Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)

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Flexible Organic Electrochemical Transistors for Energy-Efficient Neuromorphic Computing

• Authors : Li Zhu; Junchen Lin; Yixin Zhu

Subjects: low-power; Chemistry; flexible organic transistor

• Source: Nanomaterials (Basel)Nanomaterials, Vol 14, Iss 14, p 1195 (2024)

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Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing

• Authors : Esser, Steven K.; Merolla, Paul A.; Arthur, John V.

Subjects: Computer Science - Neural and Evolutionary Computing

• Source: PNAS 113 (2016) 11441-11446

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sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge

• Authors : Minsuk Koo; Gopalakrishnan Srinivasan; Yong Shim

Subjects: FOS: Computer and information sciences; Emerging Technologies (cs.ET); Hardware Architecture (cs.AR)

• Source: IEEE Transactions on Circuits and Systems I: Regular Papers. 67:2546-2555

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Energy Efficient Neuromorphic Computing with beyond-CMOS Oscillatory Neural Networks

• Authors : Delacour, Corentin; Carapezzi, Stefania; Boschetto, Gabriele ...

Subjects: ONN; Neuromorphic circuit; VO2

• Source: International Conference on Neuromorphic Systems (ICONS 2021)International Conference on Neuromorphic Systems (ICONS 2021), Jul

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