Events

This event is organized by MIT Industrial Liaison Program (MIT ILP) with special discounts for friends of MIT CSAIL and complimentary passes for CSAIL Alliances members.

Visit the official event page for full event details.

Save 70% with code ILP70CSAIL at checkout. 
CSAIL Alliances Members, contact your CRC for a fully complimentary pass.

While 2025 presented challenges and uncertainty, it also opened the door to new opportunities. Navigating this landscape with insight allows us to turn obstacles into growth.

This is the MIT ILP flagship event of the year, featuring keynote talks, technical tracks, startup presentations, and moderated discussions with industry leaders—designed to encourage learning and connection.

Day 1 will open with researchers and practitioners examining global drivers of change, focusing on AI, the future of work, advanced manufacturing, robotics, national security, and the dynamics of scarcity and geopolitics. The day will also include lightning talks from 10 startups from MIT Startup Exchange.

On Day 2, attendees can choose from six concurrent tracks covering developments in entrepreneurship, sustainable energy, space technology, cybersecurity and data analytics, advanced materials, and life sciences.

The CSAIL Forum event series is hosted by Professor Daniela Rus, CSAIL Director. This virtual series was created to inspire conversation, share insights, and shape the future of computer science and artificial intelligence. Registration is required. 
See past forum recordings and learn more here

Please join us for CSAIL Forum with Prof. Sam Madden

Speaker: Sam Madden, College of Computing Distinguished Professor
Date/time: Tuesday 12:00-1:00 EDT, November 18, 2025 
Venue: Live stream via Zoom: Registration required
Title: How I Learned to Start Querying and Love AI

Abstract: 
Over the past five decades, the relational database model has proven to be a scaleable and adaptable model for querying a variety of structured data, with use cases in analytics, transactions, graphs, streaming and more. However, most of the world’s data is unstructured. Thus, despite their success, the reality is that the vast majority of the world’s data has remained beyond the reach of relational systems. The rise of deep learning and generative AI offers an opportunity to change this. These models provide a stunning capability to extract semantic understanding from almost any type of document, including text, images, and video which can extend the reach of databases to all the world's data. In this talk I explore how these new technologies will transform the way we build database management software, creating new systems that can ingest, store, process, and query all data. Building such systems presents many opportunities and challenges. In this talk I focus on three: scalability, correctness, and reliability, and argue that the declarative programming paradigm that has served relational systems so well offers a path forward in the new world of AI data systems as well. To illustrate this, I describe several examples of such declarative AI systems we have built in document and video processing, and provide a set of research challenges and opportunities to guide research in this exciting area going forward.

Bio:  
Samuel Madden is the College of Computing Distinguished Professor of Computing at MIT. His research interests include databases, distributed computing, and AI systems. Past research projects include learned database systems, the C-Store column-oriented database system, and the CarTel mobile sensor network system. Madden heads the Data Systems Group at MIT and the Data Science and AI Lab (DSAIL), an industry supported collaboration focused on developing systems that use AI and machine learning. Registration required

Madden received his Ph.D. from the University of California at Berkeley in 2003 where he worked on the TinyDB system for data collection from sensor networks. Madden was named one of Technology Review's Top 35 Under 35 in 2005 and an ACM Fellow in 2020, and is the recipient of several awards including the SIGMOD Edgar F. Codd Innovations Award and "test of time" awards from VLDB, SIGMOD, SIGMOBILE, and SenSys. He is the co-founder and Chief Scientist at Cambridge Mobile Telematics, which develops technology to make roads safer and drivers better.

Join CSAIL Alliances and Alliances member LDV Partners for an exciting fireside chat with the founder of iRobot.

Robots earned their place in our homes by being reliably useful. What will it take for them to become meaningfully social? In this fireside chat, Colin Angle—founder and longtime CEO of iRobot, now building Familiar Machines & Magic—joins Dionysis Panagiotopoulos, Partner at LDV Partners and an investor in FMM, to explore the next wave of embodied AI: machines that can “read the room,” act with social appropriateness, and earn human trust.

We’ll unpack the technical stack behind EQ (multimodal perception, intent inference, behavior policies), design principles for non-creepy interactions, and the guardrails required for privacy and safety.

A 20-minute Q&A will follow.

Register Here

This event is hosted by CSAIL Alliances and the MIT Museum.

Join CSAIL Alliances and the MIT Museum for a live podcast event in the Exchange. 

Join two MIT scholars at the cutting edge of AI research—CSAIL Senior Research Scientist Neil Thompson and MIT Economics Professor David Autor—to understand how AI is reshaping employment.

Moderated by Kara Miller, host of the CSAIL Alliances Podcast. Learn more and listen to past episodes.