3 papers
cs.NE2024
RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices
Kam Chi Loong, Shihao Han, Sishuo Liu +2
Computing-in-memory (CIM) is an emerging computing paradigm, offering noteworthy potential for accelerating neural networks with high parallelism, low latency, and energy efficienc…
cond-mat.mtrl-sci2020
Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor
Chen-Yu Wang, Shi-Jun Liang, Shuang Wang +18
Early processing of visual information takes place in the human retina. Mimicking neurobiological structures and functionalities of the retina provide a promising pathway to achiev…
cs.ET2018
Long short-term memory networks in memristor crossbars
Can Li, Zhongrui Wang, Mingyi Rao +14
Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence. State-of-the-art LSTM models w…