The University Lecture on “Machine Learning / AI Chances for Custom Circuits and Systems” will take place as follows:
Date: 05 July 2019 (Friday)
Time: 10:00am - 11:30am
Venue: N21-G013, Lecture Hall, Research Building, University of Macau
The speaker is:
Prof. Prof. Chixiao CHEN, Assistant Professor, Fudan University
The Lecture is:
Machine Learning / AI Chances for Custom Circuits and Systems
With the recent striking success in exploring data-driven machine learning and artificial intelligence (AI) algorithms, there are intensive interests in designing custom intelligent circuits and systems. Both dedicated and general-purpose designs have been developed to embed AI onto mm-scale chips. In this talk, I will first review the challenges and chances confronted by intelligent circuits and system designs. I will highlight our approaches to explore the on-chip incremental learning and data-flow flexibility with two silicon proven prototypes. Afterwards, I will discuss the future opportunity on machine learning / AI assisted mixed-signal designs, and mixed-signal-assisted AI computing circuits.
Chixiao Chen received B.S and Ph.D degrees in Microelectronics from Fudan University, China in 2010 and 2016 respectively. In 2015, he worked at Calterah Inc. as an analog/mixed-signal engineer. From 2016 to 2018, he was a postdoctoral research associate with the University of Washington, Seattle. Since 2019, he has been an assistant professor with Fudan University, Shanghai China. He is also the co-founder of silicontalks (矽说), a renowned semiconductor we-media in China.
His current research interest includes mixed signal integrated circuit and custom intelligent system designs. He was a recipient of STGA award in ISSCC 2014 and outstanding Ph.D research award of Fudan University.
For more details, kindly find the event poster, abstract and bio.