David Cox is the VP for AI Models at IBM Research and the IBM Director of the MIT-IBM Watson AI Lab. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the Lab’s work in neuro-symbolic AI and other key areas, while leading the Lab’s IBM team in Cambridge, MA.
MIT-IBM
Industry Showcase
When: April 25, 2023
Where: MIT-IBM Watson AI Lab
Address: 314 Main St, Cambridge, MA 02142


MIT-IBM
Industry Showcase
When: April 25, 2023
Where: MIT-IBM Watson AI Lab
Address: 314 Main St, Cambridge, MA 02142

About
The MIT-IBM Watson AI Lab is a 10-year, $240 million joint partnership between IBM Research and MIT, with the shared goal of translating AI research to impact business and society.
Once a year, we invite our industry partners to visit our lab and learn about our latest AI innovations. Come and join us for a day of demos, AI keynotes, and networking as we showcase the future of business and AI.
Agenda
Member Exclusive Programming | Morning
Member companies are invited for exclusive programming during the morning. Member engagement managers will reach out with a custom invitation. Lunch will be served. Contact Derek (Shell), Juanita (Boston Scientific and Evonik), Austin (Wells Fargo) to learn more.
Event | Description | Start Time | End Time |
---|---|---|---|
Lab Briefing for Invited Guests | Briefing on the MIT-IBM Watson AI Lab designed for companies that are interested in learning more and considering joining the Membership Program. Contact Adam Bogue (abogue@us.ibm.com). Lunch will be served. | 11:00am | 12:30pm |
MIT-IBM Advisory Board | Special invitees only. Closed session. Lunch will be served. | 11:00am | 12:30pm |
Welcome and Member Impact Highlights | Kate Soule will kick off the event with program updates and future directions. | 12:30pm | 1:00pm |
Director’s Briefing and Panel Discussion with Dan Huttenlocher | The MIT-IBM Co-Directors, Dr. Aude Oliva (MIT) and Dr. David Cox (IBM), will provide headlights into the future of AI, including an overview of MIT-IBM’s research strategy, research portfolio updates, and an update on MIT’s latest College of Computing. Dan Huttenlocher, Inaugural Dean of the MIT Schwarzman College of Computing, will join for a panel discussion on the Future of AI. | 1:00pm | 2:00pm |
AI Demo Showcase Tour | Following the Director’s briefing, we will divide attendees into several breakout groups. Each group will get an intimate tour of the MIT-IBM lab, hearing from our researchers as they demonstrate some of the lab’s cutting edge AI innovations. | 2:00pm | 3:15pm |
Keynote: Aleksandra Mojsilovic, PhD | Trustworthy Foundation Models | 3:15pm | 4:00 pm |
Keynote: Antonio Torralba, PhD | Generative AI and Explainability | 4:00 pm | 4:45 pm |
Closing Thoughts | Reflections on a day of transformative AI insights. | 4:45 pm | 5:00 pm |
Cocktail Reception with Anantha Chandrakasan | Please join us after the day’s events for a networking reception with Anantha Chandrakasan, Dean of Engineering and MIT chair of the MIT-IBM Lab. Refreshments and heavy hors d’oeuvres will be served. | 5:00 pm | 6:30 pm |
Photos will be taken at this event
Maps
Morning Sessions
4th Floor
Afternoon Sessions
13th Floor
Parking
The parking garage entrance address is 33 Amherst Street. Parkers may enter and exit the garage via the entrance located on Amherst Street near the corner of Hayward Street. Parking is $45. There are two credit card pay stations located in the lobby of the building and in the garage head house. This entrance is accessible 24 hours per day, 7 days per week, and 365 days per year. When exiting, please make sure that the arm and door are entirely open before proceeding.
Speakers

Dr. Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab, and director of strategic industry engagement in the MIT Schwarzman College of Computing. She is a senior research scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), where she leads research in neuroscience, computer vision, and machine learning.

Daniel Huttenlocher is the MIT co-chair of the MIT-IBM Watson AI Lab, dean of the MIT Schwarzman College of Computing, Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science. He is recognized for his work in computer vision, social media, and understanding AI.

Aleksandra (Saška) Mojsilović is interested in multidimensional signal processing, data science, machine learning and AI. Over the last 20 years, Saška has applied her skills to problems in computer vision, healthcare, multimedia, finance, HR, economics, social good, and AI ethics.

Antonio Torralba’s research spans computer vision, machine learning, human visual perception, focusing on building systems that can perceive the world via multiple senses, like humans do, and can learn from much less data.