Schedule

Event

Date

Description

Course Material
Lecture

08/31/2026
Monday

Lecture 1: Introduction
[PDF]
Lecture

09/02/2026
Wednesday

Lecture 2: Tasks and Problem Formulation
[PDF]
Lecture

09/09/2026
Wednesday

Lecture 3: Scaling to Real-World Deployment
[PDF]
Lecture

09/14/2026
Monday

Lecture 4: System-Level Parameters: Optimizing Latency, Memory Inflation, and Network Bandwidth
[PDF]
Lecture

09/16/2026
Wednesday

Lecture 5: Interconnection Topologies, Latency Bounds, and Grid Energy Infrastructure
[PDF]
Lecture

09/23/2026
Wednesday

Lecture 6: Counterfactual Design, Active Learning, and Autonomous Exploration
[PDF]

In-Class Classwork 1: Sizing Processor Clusters.
Lecture

09/28/2026
Monday

Lecture 7: Scientific Agents: Design, Synthesis, and Autonomous Discovery
[Interactive Slides]
Reference Readings:
- Bengio, E., et al. (2021). Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation and Molecule Discovery. arXiv:2106.04399.
- Segler, M. H. S., Preuss, M., & Waller, M. P. (2018). Planning chemical syntheses with deep neural networks and symbolic AI. Nature, 555(7698), 604–610.
- Roch, L. M., et al. (2020). ChemOS: An orchestration software to democratize autonomous discovery. PLOS ONE, 15(4), e0229862.
- Boiko, D. A., et al. (2023). Autonomous chemical research with large language models. Nature, 624(7992), 570–578.
Lecture

09/30/2026
Wednesday

Lecture 8: AI Agents for Biology: Protein Design, Cell Simulation, and Disease Modeling
[PDF]
Lecture

10/05/2026
Monday

Lecture 9: Financial Agents, Stock Portfolio Orchestration, and Trading
[PDF]

In-Class Problem: Optimal Sizing of Trade Execution.
Lecture

10/07/2026
Wednesday

Lecture 10: Supply Chain Logistics and Orchestration
[PDF]
Lecture

10/13/2026
Tuesday

Lecture 11: Drone Swarms, Autonomous Vehicles, and Transportation; Advanced Topics: Augmented Reality (AR/VR/XR) and Hardware Agents
[PDF]
Lecture

10/14/2026
Wednesday

Lecture 12: Quantum Control Mechanisms and Non-Deterministic AI
[PDF]
Lecture

10/19/2026
Monday

Lecture 13: Navigating Open-Ended Problems, Establishing New Metrics, and Reliability
[PDF]

In-Class Problem: Computing the Optimal Rollout Horizon.
Lecture

10/21/2026
Wednesday

Lecture 14: Scaling Multi-Agent AI Problems with Distributed Learning
[PDF]
Lecture

10/26/2026
Monday

Lecture 15: Scaling Multi-Agent AI Problems: Modern Distributed Learning and JAX
[PDF]