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      SKL AMSV / IME Distinguished Lecture by Prof. Chixiao CHEN, Assistant Professor, Fudan University
      2019/07/04

      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

      Abstract:

      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.

       

      Biography:

      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 (矽說), 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.

       


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