An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)

no code implementations • 19 Sep 2017 • Yuan Du, Li Du, Xuefeng Gu, Jieqiong Du, X. Shawn Wang, Boyu Hu, Mingzhe Jiang, Xiaoliang Chen, Junjie Su, Subramanian S. Iyer, Mau-Chung Frank Chang

The proposed computing engine is composed of a scalable CTT multiplier array and energy efficient analog-digital interfaces.

A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications

no code implementations • 15 Sep 2017 • Yuan Du, Li Du, Yilei Li, Junjie Su, Mau-Chung Frank Chang

Deep convolutional neural networks (CNN) are widely used in modern artificial intelligence (AI) and smart vision systems but also limited by computation latency, throughput, and energy efficiency on a resource-limited scenario, such as mobile devices, internet of things (IoT), unmanned aerial vehicles (UAV), and so on.

A Reconfigurable Streaming Deep Convolutional Neural Network Accelerator for Internet of Things

no code implementations • 8 Jul 2017 • Li Du, Yuan Du, Yilei Li, Mau-Chung Frank Chang

To implement image detection using CNN in the internet of things (IoT) devices, a streaming hardware accelerator is proposed.