![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
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 IntelligenceAdd to your list(s) Download to your calendar using vCal
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. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsSpanish Researchers in the United Kingdom (SRUK) Emmy Noether Society Type the title of a new list hereOther talksGeometric Characterizations of Kerr-de Sitter and Related Metrics in All Dimensions Annual General Meeting 2025 Natural Language meets Control Theory Towards asymptotic models and minimal seeds for the geodynamo All models are wrong and yours are useless: making clinical prediction models impactful for patients Lewis Lectures 2025 - Lecture I - New Ways of Seeing Electrochemistry |