Co-located Events ▼

Locations ▼

Text here

Request to partner

Dr. Raghav

Vadhera

Lead Technical Architect, AI/ML Platform

Raytheon Technologies

Raghav is an ambitious, versatile information technology professional with a passion for creating technology driven scalable business solutions and tools to add value for enterprise. He possesses a deep understanding of enterprise technologies and trends with specialization in developing business processes and implementing complex large scale systems. In a career that has spanned over 30 years, Raghav has enjoyed roles at Fidelity Investments, BAE Systems and now Raytheon Technologies, where he is currently Lead Technical Architect for AI/ML Platform and Services. Prior to these positions, he was a Scientist at Artificial Intelligence (AI) Software Architectures and Algorithms Group of MIT Lincoln Labs. Raghav holds a PhD in AI/ML from University of Texas and is currently pursuing his Doctor of Engineering in Cyber Security Analytics from George Washington University.

19 October 2023 15:45 - 16:15

Learning policies for neural network architecture optimization using reinforcement learning

Neural network architecture optimization is the process of finding the best neural network architecture for a given problem. This is a challenging task, as there are a vast number of possible architectures to choose from. Reinforcement learning is a powerful tool that can be used to automate the neural network architecture optimization process. In this talk, Raghav Vadhera will discuss his research on learning policies for neural network architecture optimization using reinforcement learning. He will introduce the problem of neural network architecture optimization and discuss the challenges involved.

Useful links

Summit series