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Ayush Chopra

Graduate Research Assistant at Massachusetts Institute of Technology

Ayush Chopra is a driven graduate student at the MIT Media Lab, under the guidance of Professor Ramesh Raskar. His current research interests lie in the realms of distributed deep learning and tech policy, with a focus on creating scalable, compliant, and sustainable AI platforms, particularly for applications related to the COVID-19 pandemic. Prior to his current pursuits, Ayush honed his skills at the Media and Data Science Research Lab at Adobe, where he specialized in utilizing deep learning and computer vision to enhance interactive in-browser retail experiences. His exemplary contributions led to him being honored with Adobe's prestigious Outstanding Young Engineer Award for 2019-2020.

Highlights

Jul 15 · linkedin

AI agents are rapidly evolving - they can read books, watch videos, and listen to music. But what happens when millions of these sensory agents interact? 🤔

Many of our greatest challenges - from pandemics to urban crises - emerge not from individual actions, but from the complex interplay of countless decisions. To tackle this, we need a new perspective in AI: one centered on interaction dynamics, not just individual capabilities. 

Enter Large Population Models (LPMs) - lpm.media.mit.edu/ - our research at the MIT Media Lab . LPMs go beyond personal AI capabilities to capture the intricate dance of collective behavior. They simulate millions of interacting agents, revealing how personal choices cascade into societal outcomes. It's not just about smarter individuals, but understanding our interconnected world.

At AAMAS 2024 - the premier conference in the field of AI agents and multi-agent systems - we presented groundbreaking work on LPMs:

  1. Introduced our platform to build large, differentiable population models that can simulate billions of agents! See our open-source project (lpm.media.mit.edu/platform) to simulate entire countries on a GPU!
  2. Partnered with the New Zealand Crown (Institute on ESR – Science and Research) to use LPMs to safeguard their 5 million citizens from the impact of measles.
  3. Designed protocols to ensure LPMs can be used for good without compromising the privacy of any citizen! Eg: See our work (https://lnkd.in/erzyxSMa) to securely track the infection without leaking the infection status or geo-location of any individual.

Excited about using AI to tackle societal challenges? We're looking for motivated researchers in AI, policy and health to join us. Let's connect and explore how LPMs can make a difference.

Interested in joining our research at MIT? Drop a comment below, DM me and checkout our resources.

  • Explore our project: https://lnkd.in/dHKM-_Gs
  • Join our slack: lpm.media.mit.edu/join

#AI #ComplexSystems #PublicPolicy #AAMAS #MIT

Ramesh Raskar Massachusetts Institute of Technology Alvaro Orsi Santanu Bhattacharya Sijin Zhang

Ayush Chopra
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Location

Cambridge, Massachusetts, United States