Company
Enable Artificial Intelligence
EN:ai aims to utilize the emerging tensor arithmetic, added with quantization-aware design flow, for deeply compressing the computational resources needed in the NN hardware design.
The outcomes will address the fast blooming needs for AI computing on resource-limited edge and terminal devices. To enable low-power, high-speed and highly accurate board- and chiplevel implementations, innovative constrained-hardware schemes (including truncated tensor ranks and low-bitwidth quantization) will be devised to facilitate hardware-efficient NN training and inference.
Description
AI board-level and chip-level designs and solutions for computer visual algorithms which takes much less computer power than others.
