66 citations · 101 across the 5 of their papers we have counts for
5 papers
Masked Spiking Transformer
Ziqing Wang, Yuetong Fang, Jiahang Cao +3
The combination of Spiking Neural Networks (SNNs) and Transformers has attracted significant attention due to their potential for high energy efficiency and high-performance nature…
Cryogenic in-memory computing using magnetic topological insulators
Yuting Liu, Albert Lee, Kun Qian +17
Machine learning algorithms have been proven effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementati…
Realizing Ultra-Fast and Energy-Efficient Baseband Processing Using Analogue Resistive Switching Memory
Qunsong Zeng, Jiawei Liu, Jun Lan +4
To support emerging applications ranging from holographic communications to extended reality, next-generation mobile wireless communication systems require ultra-fast and energy-ef…
A memristive deep belief neural network based on silicon synapses
Wei Wang, Loai Danial, Yang Li +6
Memristor-based neuromorphic computing could overcome the limitations of traditional von Neumann computing architectures -- in which data are shuffled between separate memory and p…
Molecular-scale Integration of Multi-modal Sensing and Neuromorphic Computing with Organic Electrochemical Transistors
Shijie Wang, Xi Chen, Chao Zhao +11
Abstract: Bionic learning with fused sensing, memory and processing functions outperforms artificial neural networks running on silicon chips in terms of efficiency and footprint.…