Seminar with INZONE.AI Entrepreneur Sandeep Srinivasan

Seminar | November 8 | 11 a.m.-12 p.m. | Sutardja Dai Hall, Room 242

 Sandeep Srinivasan, INZONE.AI

 BAIR Lab

Sandeep Srinivasan Founder & CEO @INZONE.AI Bio:

Sandeep is a serial Entrepreneur has founded 4 startups, including INZONE.AI

His previous 2 startups (Mskribe Inc and Synchronous Design Automation) have been in the space of algorithms to reduce power consumption on complex IC’s.

Sandeep also founded a consumer facing location based messaging startup, that used machine learning to keep track of your friends and family.

Two of the startups Sandeep started, were acquired by larger companies including one by Samsung.

Sandeep’s expertise is in Building Products, Teams and companies from Ground up.

His technical expertise is broad , in the areas of Machine Learning, CAD , Graph Algorithms, Microprocessor/Asic Design, Software Architecture.

Sandeep has a MS EE/CS from U Wisconsin Milwaukee, his masters research was on non-destructive testing using high frequency microwaves.

Abstract:

“Doing better than Random in automated Software and Hardware Verification using Machine Learning”:

“With the exponential growth of software and connected devices in every aspect of our lives, there is a critical need to automate software and hardware verification.

For over two decades we haven been using Random, Directed-random and Constrained-Random methods to test hardware and software.
Directed random and Constrained-Random testing has proven to be only marginally better than an expert human tester!

Reinforcement Learning and supervised ML techniques are game changers for automated software and hardware testing.
In this talk we will explore how RL/ML techniques have the potential to redefine automated testing for software and hardware.

The cost of software and hardware testing is growing exponentially, and can only be minimized by using Machine Learning techniques that can do better than Random and humans!

 CA, angelicagracelee@berkeley.edu, 4155196086