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Computer Science Class of '60s Speaker - Tim Kraska, MIT

Thu, April 10th, 2025
7:30 pm
- 9:00 pm

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Computer Science Class of ’60s Event
Thursday, April 10
7:30pm in Wachenheim B11 (Bronfman)
-Reception to follow-
Generative AI is overhyped but real
Generative AI is poised to fundamentally reshape the way we work, communicate, and interact with both people and systems. Even today, it is quietly—but profoundly—changing how we develop software, seek assistance, or draft emails and documents. At the heart of this transformation are large language models and agentic systems that, while they may appear almost magical, are grounded in surprisingly simple ideas.
In this talk, I will first outline how Generative AI is enabling new modes of productivity and entirely novel user experiences. I’ll provide an accessible overview of the underlying mechanics of agentic systems, discuss their current limitations, and offer a look into the future they are making possible. Drawing on key research findings from my work at MIT and AWS, I’ll share how we’ve successfully transitioned foundational ideas into real-world systems through two MIT spin-offs. Finally, I will address common pitfalls and share actionable insights on leveraging ML and GenAI effectively in your applications.
Tim Kraska  is an Associate Professor of Electrical Engineering and Computer Science in MIT’s Computer Science and Artificial Intelligence Laboratory, co-director of the new GenAI Impact Initiative at MIT, a director of applied science at Amazon Web Services (AWS), and was a co-founder of Instancio and of Einblick Analytics (both acquired).   Currently, his research focuses on using ML/GAI for (data) systems and agentic systems. Before joining MIT, Tim was an Assistant Professor at Brown and spent time at Google Brain. Tim is a 2017 Alfred P. Sloan Research Fellow in computer science and received several awards including the VLDB Early Career Research Contribution Award, the Intel Outstanding Researcher Award, the VMware Systems Research Award, the university-wide Early Career Research Achievement Award at Brown University, an NSF CAREER Award, as well as several best paper and demo awards.

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