Guest Speaker 1: William Li
Time: 10/28 2:30 – 3:30
Company: Intel Corporation
Title: Managing Consultant & Lead Data Scientist
Biography
William Li is an engineering manager at Intel Corporation. After receiving his PhD in Electrical Engineering from Columbia University, he joined Intel focusing on nano scale circuit and system research. Recently, he has been engaging with hardware acceleration utilizing FPGA for networking, cloud, and machine learning. His research interest includes energy-efficient computing, digital signal processing, and machine learning algorithm and implementation.
Presentation Title: Deep learning, Nanotechnology and Hardware Acceleration
Presentation Overview:
Rather than erupting overnight, deep learning research and development can be traced back to 1970s or earlier. In this talk, we will investigate what prevented deep learning from gathering momentum, and how nanoscale semiconductor technology has fueled the recent exponential growth of machine learning and artificial intelligence applications. We will then give an overview of the different types of hardware used for machine learning, and conclude with future outlook from a technology perspective.