AI for Science: Agentic Systems and Scientific Discovery Closed-Loop AI and Self-Driving Laboratories
Room: Frederick
Overview of NAIRR Infrastructure and TapisUI
Room: Chesapeake A
Deep Literature Research, Novel Hypothesis Generation, and Innovative Research Planning
Room: Chesapeake B
Use Cases and Basic Evaluation Techniques
Room: Columbia
Introduction to Agentic Systems and Academy
Room: Pratt/Calvert
Agentic AI for Chemistry and Materials Discovery
Room: Frederick
Models, Large Models, and Third-Party Registries
Room: Chesapeake A
AI-Supercharged Code Prototyping, Development, Execution, and Optimization
Room: Chesapeake B
Advanced Evaluation Techniques
Room: Columbia
Hands-On Implementation of Agentic Systems
Room: Pratt/Calvert
Agentic Architectures, Frameworks, and Coordination Protocols
Room: Frederick
Prompt Engineering: Computer Vision Models with Jupyter
Room: Chesapeake A
Understanding and Using AI Agents
Room: Chesapeake B
Hands-On Work
Room: Columbia
AMD AI Workflows, Ecosystem, Deployment, and Profiling Stack Overview
Room: Pratt/Calvert
Heterogeneous Quantum and Classical Computing on AWS
Room: Camden/Lombard
Production Systems: Industry, HPC Runtimes, and Safety
Room: Frederick
Fine-Tuning and Analytics
Room: Chesapeake A
Developing and Using AI Agents and Surrogates
Room: Chesapeake B
AI4Science Studio: Agent-Driven Workflows for Scientific AI Models
Room: Pratt/Calvert
Agentic Workflows for AI-Driven Scientific Computing on AWS
Room: Camden/Lombard
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© 2026 TCI Media.
TPC25 is produced by TCI Media, home of the Wire Publications:
© 2025 TCI Media.
