research
∙
07/08/2023
Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives
The amount of data processed in the cloud, the development of Internet-o...
share
research
∙
12/13/2021
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Directly training spiking neural networks (SNNs) has remained challengin...
research
∙
08/31/2018