Time: October 25 (Sunday)  10:00 am
Location: 4103, No 4 Teaching Block Tsinghua University

Lecturer
Li Huanglong, Associate Professor, Department of Precision Instruments and Mechanology, Tsinghua University;

Associate Professor Li graduated from the Department of Physics, Peking University, in 2010 and obtained his doctoral degree from the Department of Electrical Engineering, University of Cambridge, in 2014 under a government scholarship. Subsequently he returned to China and engaged in postdoctoral research at the Department of Precision Instruments and Mechanology, Tsinghua University, became a faculty member in 2017 and is currently engaged in research on new semiconductor information device materials and neuromorphic engineering. He has been elected onto the 2019 CSTA "Young Talent Trust Project" and Young Brain Scholar Training program at the Beijing Center for Brain Science and Brain-like Research in 2020.

In the last 50 years, the number of transistors on a single chip has grown exponentially from 2 to 39 billion. In recent years, semiconductor chip manufacturing has moved close to its physical limit and chip development has not been able to keep pace with "Moore's Law".

The neuromorphic computing device/entity is a computing device that uses the adaptive characteristic of resistance to simulate the plasticity shown by nerve synapses. Its use helps to support the use of brain-like computing and provides great benefits for the technical community.

In this lecture, Associate Professor Li will introduce to the audience the principles and developments of neuromorphic computing and speculate on the progression of this technology in the near future.

This exciting lecture will be held in a format which allows for both offline and online audiences (Tsinghua University Graduate Student Association link) who can engage actively.

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