使用DSP和模拟/数字电路的生物式启发计算
Biologically Inspired Computation Using DSP and Analog/Digital Circuits
   John G. Harris
报告人照片   Dr. John G. Harris earned his BS and MS degrees in Electrical Engineering from MIT in 1983 and 1986. After graduating with his PhD in 1991, Dr. Harris spent a two-year post doc at the MIT Artificial Intelligence Lab. Dr. Harris joined the Electrical and Computer Engineering (ECE) Department at UF in 1993. He develops biologically inspired circuits, architectures and algorithms for signal processing. He has published over 100 research papers and patents in these research areas. In August of 2011, He became the chair of the ECE department at the University of Florida.
  There is growing interest in using biological-inspiration to improve the design of computation systems, particularly in the areas of sensory processing and pattern recognition where biological systems far outperform the best man-made devices. For instance, state-of-the- art speech and face recognition algorithms pale in comparison to human performance despite hundreds of man-years of research in these fields. We survey several examples of our work in biologically-inspired engineering designs including research with Motorola on improving cell-phone speech quality, a new type of digital camera with much wider dynamic range, an implant for wirelessly recording neural signals for brain-machine interfaces and a general computer architecture for spike-based computation. In each case, the study of biology leads to natural and effective engineering solutions that can be implemented in DSPs or in special-purpose analog VLSI circuits.
报告时间:2018年07月03日09时00分    报告地点:西区电三楼632会议室
报名截止日期:2018年07月03日    可选人数:50