AMS 691 Topics in Applied Mathematics
Varying topics selected from the list below if sufficient interest is shown. Several topics may be taught concurrently in different sections: Advanced Operational Methods in Applied Mathematics, Approximate Methods in Boundary Value Problems in Applied Mathematics, Control Theory and Optimization Foundations of Passive Systems Theory, Game Theory, Mixed Boundary Value Problems in Elasticity, Partial Differential Equations, Quantitative Genetics, Stochastic Modeling, Topics in Quantitative Finance.
AMS 691.01: Recent Progress in AI/ML: Applications, Architectures, and Systems
This course will cover recent progress in AI/ML in applications, architectures, and
systems. The course will be self-contained as much as possible. If you are unsure
about your background, please send the instructor an email inquiry with your background.
0-3 credits
ABCF Grading
No required course materials
Topics (subject to change):
• Overview of recent AI/ML applications
• ChatGPT overview
• Techniques behind ChatGPT: transformer
• Systems behind ChatGPT: GPU clusters, accelerators
• Algorithms behind ChatGPT: reinforcement learning
• Other applications based on ChatGPT
• Survey of competitive models vs transformer
• Survey of key systems development
• Survey of algorithmic innovations
• Sustainable AI and AI for sustainability
• Other topics: responsible AI, secure AI, edge AI (depends on time)
Learning outcomes:
• Understand the current trend in recent AI/ML applications
• Understand the basic concepts and popular applications of ChatGPT
• Understand the challenges and opportunities in the development of next generation
AI/ML
applications
• Conduct a course project on related topics