Hunan Normal University Liu Shuanglong’s research team has made new breakthroughs in the field of artificial intelligence accelerator design
Author：Eve Cole
Update Time：2024-11-22 17:24:01
Red Net Moment News, September 4 (Correspondent Wenqin Liu Yun) Recently, the research team of Liu Shuanglong, a distinguished professor at the School of Physics and Electronic Science of Hunan Normal University, proposed a new method of accelerating artificial intelligence "based on dynamic parallel computing", which significantly improved the volume of artificial intelligence. The processing speed and efficiency of cumulative neural networks are expected to bring a more intelligent experience in daily life. Currently, this related paper has been published in the top international journal "IEEE Transactions on Computer-AIded Design of Integrated Circuits and Systems" and has received funding from the National Natural Science Foundation, the Hunan Provincial Natural Science Foundation and the Changsha Natural Science Foundation. Simply put, computing power refers to the speed and efficiency of a device in processing artificial intelligence tasks. The new method of artificial intelligence acceleration proposed by Professor Liu Shuanglong's team optimizes the hardware design and installs an "accelerator" on the device. Through this "accelerator", the device can quickly process complex AI tasks without consuming too much energy, achieving This enables artificial intelligence to be run efficiently on devices with limited resources. Professor Liu Shuanglong is a high-level overseas talent introduced by Hunan. In recent years, Professor Liu Shuanglong's team has focused on how to improve the computing power of artificial intelligence, especially in edge computing environments, and has achieved fruitful results.
