What’s Next in AI
A virtual conference
Leaders agree Artificial Intelligence technologies are key to competitive advantage in the 21st Century, but only a fraction of organizations are successfully executing in AI. In this virtual event, scientists and business experts from the MIT-IBM Watson AI Lab come together to review three key barriers to adoption – trust, scalability, and reasoning – and how we can solve these challenges through scientific advancement. These sessions took place over three weeks in November 2020. Below are the video replays.
AI we can trust
| 00:00:00 | Introduction: What’s Next in AI at the MIT-IBM Watson AI Lab |
Mark Weber |
| 00:17:20 | AI Science for Real-World Impact | Aude Oliva |
| 00:23:40 | Discussion with the directors of the MIT-IBM Watson AI Lab |
Aude Oliva, David Cox, Mark Weber |
| 00:44:45 | Certifying AI Robustness |
Lily Weng |
| 00:59:22 | Business discussion with IBM Research |
Lily Weng, David Cox, Mark Weber |
| 01:14:44 | The Challenge of AI Safety | Armando Solar-Lezama |
| 01:32:34 | Business discussion with IBM Research |
Armando Solar-Lezama, Mark Weber |
| 01:46:13 | Algorithmic Fairness | Mikhail Yurochkin |
| 02:02:35 | Business discussion with Wells Fargo |
Mikhail Yurochkin, Sherif Botros, Mark Weber |
| 02:16:20 | Clinically Useful Machine Learning |
Collin Stultz |
| 02:33:08 | Business discussion with Boston Scientific and IBM Research |
Collin Stultz, Ron Lancaster, Jianying Hu, Mark Weber |
| 02:55:45 | Debrief with the directors of the MIT-IBM Watson AI Lab |
Aude Oliva, David Cox, Mark Weber |
AI we can scale
| 00:00:00 | Introduction: AI we can scale | Mark Weber |
| 00:13:00 | Work Smarter, Not Harder with Transfer Learning | Joshua Lee |
| 00:30:54 | Business discussion with Boston Scientific | Joshua Lee, Dat Huynh, Mark Weber |
| 00:43:50 | AutoML for Optimizing Neural Network Architecture | Song Han |
| 01:02:11 | Business discussion with Samsung | Song Han, Joseph Hassoun, Mark Weber |
| 01:15:00 | Doing More with Less: The Lottery Ticket Hypothesis | Michael Carbin |
| 01:32:34 | Business discussion with IBM Research |
Michael Carbin, David Cox, Mark Weber |
| 01:45:54 | Learning to Learn | Rogerio Feris |
| 02:03:20 | Business discussion with Refinitiv | Rogerio Feris, George Gktosis, Mark Weber |
| 02:14:12 | Unsupervised Learning with Optimal Transport | Farzaneh Mirzazadeh |
| 02:33:08 | Business discussion with IBM Research |
Farzaneh Mirzazadeh, Mark Weber |
| 02:42:37 | Director’s debrief | Aude Oliva, Mark Weber |
AI we can reason with
| 00:00:00 | Introduction: AI we can reason with |
Mark Weber |
| 00:16:05 | Toward Artificial Fluid Intelligence |
David Cox |
| 00:33:41 | Learning and Planning for Hybrid Domains | Leslie Kaelbling |
| 00:48:18 | Business discussion with IBM Research |
Leslie Kaelbling, David Cox, Mark Weber |
| 01:04:30 | Visually Grounded Language Models | Kate Saenko |
| 01:21:52 | Business discussion with Samsung | Kate Saenko, Ardavan Pedram, Mark Weber |
| 01:44:02 | Situational Awareness |
Daby Sow |
| 02:00:20 | Business discussion with IBM Research | Daby Sow, Jianying Hu, Mark Weber |
| 02:16:43 | Closing discussion | Aude Oliva, Mark Weber |