Handol Kim
Wei Li
Wei Li is Vice President and General Manager of Machine Learning Performance at Intel Corporation, where he is responsible for AI software product development for deep learning, statistical machine learning and big data analytics, as well as hardware co-design for AI acceleration on CPU, GPU, and XPU architectures with heterogenous and distributed computing. He is passionate about product technology innovation and his team’s work has been instrumental in realizing Intel's multi-billion dollar AI revenue growth.
As a performance software technologist, he has led teams to win competitions and set performance world records in AI, data analytics and high performance computing. He received his Ph.D. in Computer Science from Cornell University and completed an executive accelerator program at the Stanford Graduate School of Business.
Tapabrata Ghosh
Frank Lin
Cliff Young
Yi Shan
Yi Shan was Co-Founder & CTO of DeePhi, where he took charge of all the engineering management and product definition, before DeePhi was acquired by Xilinx in 2018. He is now Senior Director, AI at Xilinx.
He has worked on FPGA and ASIC design for machine learning applications for more than 10 years, at companies such as Horizon Robotics and Baidu.
His paper published in FPGA2010, on machine learning acceleration with FPGAs, has been cited by more than 300 times.
Chris Nicol
Chris is the Chief Technology Officer of Wave Computing and the lead architect of the DPU architecture incorporated into Wave’s Deep Learning Computer. In addition to his duties as CTO, Chris leads the systems team developing products, the runtime software environment and benchmarking applications using deep learning frameworks.
Prior to Wave, Chris was Chief Technology Officer, Embedded Systems at NICTA, an Australian ICT R&D organization he helped to establish, where he supported over 20 R&D projects across 5 labs in hardware and software development for intelligent, secure, robust and power efficient embedded systems. Prior to NICTA, he founded Bell Labs Research in Australia and Agere Systems in Australia and he worked for AT&T Bell Labs, New Jersey.
He received the PhD degree from the University of New South Wales and the MBA from the Australian Graduate School of Management. He is an inventor on 21 U.S. patents. He has served on the TPC of ISSCC twice, and is serving his second term on the TPC of IEEE International Symposium on Low Power Electronics and Design.
Andrew Feldman
Andrew Feldman is co-founder and CEO of Cerebras Systems. He is an entrepreneur dedicated to pushing boundaries in the compute space. Prior to Cerebras, he co-founded and was CEO of SeaMicro, a pioneer of energy-efficient, high-bandwidth microservers. SeaMicro was acquired by AMD in 2012 for $357M. Before SeaMicro, Andrew was the Vice President of Product Management, Marketing and BD at Force10 Networks which was later sold to Dell Computing for $800M. Prior to Force10 Networks, Andrew was the Vice President of Marketing and Corporate Development at RiverStone Networks from the company’s inception through IPO in 2001. Andrew holds a BA and an MBA from Stanford University.
