Intelligent Computing and Systems

Bioinspired neural networks for deep learning

Headshot of AAII's Professor Shiping Wen
Professor Shiping Wen | Lab Director

The Intelligent Computing and Systems (ICS) Lab is driving theoretical and practical innovation in circuit design, dynamic analysis, and applications of memristor-based neural networks, neuromorphic computing, and brain-inspired computing. The Lab studies the characteristics of neuromorphic computing, explores semi-supervised learning data set processing technology, designs and improves deep learning algorithms. ICS researchers use neuromorphic computing circuits to implement the improved deep learning algorithms, to compress the model to reduce the calculation cost and file size of the model to maintain accuracy, and choose the appropriate neural network framework with acceleration technology to support large-scale deep learning network applications.
 

Lab Members

Zheng Yan | Postdoctoral Research Fellow
Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.