Evgeni Gousev | Tiny Machine Learning Podcast | tinyML | Momenta

Evgeni is a senior director of engineering at Qualcomm Research in Silicon Valley, where he leads the R&D organization. He's in charge of the company's ultra-low-power embedded computing platform, which includes always-on machine vision AI.

He joined Qualcomm technology in 2005 after working at IBM's TJ Watson research center, where he oversaw advanced silicon technology projects. Evgeni worked as an academic professor at Rutgers University and Hiroshima University from 1993 to 1998. He has a master's degree in applied physics and a Ph.D. in solid-state physics, and he has co-edited 24 books and published 163 papers, as well as being an inventor on more than 60 issued and pending patents. 

Discussion Points:

• What would you consider to be your 'Digital Thread'?
• You've been at the cutting edge of R&D for nearly 25 years, pioneering silicon design, MEMS, Human Machine Interface, and now ultra-low-power (including machine vision). If you had to condense what you've learned into three key technological insights, what would they be?
• What are some of your most recent notable professional accomplishments?
• Let us discuss tinyML. What is it, how did it come to be, and what drew you to this space?
• In 2018, you co-founded the tinyML Foundation. What is the foundation's mission?
• What are some of the more well-known corporations that are members of this Foundation?
• What are some of the most important use cases for tinyML that have been developed?
• What services does the tinyML Foundation offer to organizations developing such applications, and how can someone learn more about it?
• As a leading-edge machine learning computer expert, what do you predict the next several years will bring?