University of Cambridge > Talks.cam > RSE Seminars > The Rise of Self-Driving Labs: Automation of Scientific Workflows with Agentic Artificial Intelligence

The Rise of Self-Driving Labs: Automation of Scientific Workflows with Agentic Artificial Intelligence

Add to your list(s) Download to your calendar using vCal

  • UserBoris Bolliet - Cavendish Laboratory & Kavli Institute for Cosmology, University of Cambridge World_link
  • ClockThursday 27 February 2025, 13:00-14:00
  • HouseWest 2, West Hub.

If you have a question about this talk, please contact Jack Atkinson.

“Agentic” is the word of 2025. Indeed, multi-agent systems (MAS) utilizing multiple Large Language Model agents with Retrieval Augmented Generation and that can execute code locally are becoming beneficial in even the most specialized fields of fundamental research, like cosmological data analysis. Here, we illustrate a first small step towards AI-automated analyses and a glimpse of the potential of MAS to automate and optimize scientific workflows in Cosmology. The system architecture of our example package, that builds upon the autogen/ag2 framework, can be applied to MAS in any area of scientific research. The particular task we apply our methods to is the cosmological parameter analysis of the Atacama Cosmology Telescope lensing power spectrum likelihood using Monte Carlo Markov Chains. Our work-in-progress code is open source and available at https://github.com/CMBAgents/cmbagent.

This talk is part of the RSE Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity