Artificial intelligence leveraging multiple data sources and input modalities (tabular data, computer vision, and natural language) is poised to become a viable method to deliver more accurate results and deployable pipelines across various applications. This session aims to review progress in a variety of applications, including healthcare, meteorology and education, and discuss future directions.

**PLEASE NOTE: DUE TO A SCHEDULING CONFLICT, THIS SESSION WILL NOW BE TAKING PLACE AT 9:00 AM-12:00 PM.**

Part of the Expanding Horizons in Computing IAP series presented by the MIT Schwarzman College of Computing. See the full list of activities at computing.mit.edu/ExpandingHorizons.