GDG AI for Science - Australia
Join the Google Cloud Advanced Computing Community for Designing Autonomous AI Agents for Next-Generation Scientific Wor...
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Join the Google Cloud Advanced Computing Community for Designing Autonomous AI Agents for Next-Generation Scientific Workflows. Kyle Chard, a leading expert in distributed systems and research automation from the University of Chicago, will present a high-level, comprehensive introduction to AI agents for scientific computing.
Artificial intelligence is undergoing a major paradigm shift, transitioning from passive analysis models to autonomous, cooperative AI agents that can perceive environments, make decisions, and drive complex workflows. In scientific and technical computing, this shift represents a massive opportunity to accelerate discovery and "close the loop" between hypothesis generation, simulations, and physical experimental validation.
In this session Kyle will present a high-level, comprehensive introduction to AI agents for scientific computing. This talk will demystify what an agent is, showcase why they are vital for the future of research, and outline design principles for building scalable agentic systems across cloud and high-performance computing (HPC) environments.
What Will Be Covered:
The Anatomy of an Agent: The core fundamentals of what AI agents are, their stateful orchestration, and how they differ from traditional AI models
Accelerating Scientific Workflows: How cooperative agents can automate complex pipelines, from materials discovery to astrophysics, and manage distributed research data
Designing Agentic Architectures: A high-level framework for designing autonomous agents and agentic workflows that scale across heterogeneous and distributed computing infrastructures
Next-Gen Research Automation: Show how "agentic discovery" is closing the loop of scientific inquiry, shifting human effort from tedious manual execution to high-level objective setting
HPC and Cloud Integration: The challenges of integrating agentic workflows with high-performance computing systems and data repositories, emphasizing the need for robust middleware.
Whether you are a computational scientist, researcher, or systems architect, this session will provide you with the foundational knowledge required to design, deploy, and manage autonomous agentic workflows that accelerate innovation.
Registration:
Follow the link to register on the Advanced Computing Community page: https://sites.google.com/corp/view/advancedcomputingcommunity/designing-autonomous-ai-agents