April 16th, 2014, Stanford Alumni Center

This is an exciting time for AI (Artificial Intelligence). Decades of research in statistical learning is poised to meet the explosion of data available online, in devices, and across all modalities. We are on the verge of a new AI revolution.

On one hand, decision makers don't simply want data; they want knowledge-rich information that allows them to make better decisions.

On the other hand, AI technologies face the ultimate challenge of deep understanding and reasoning, not merely finding correlations and patterns.

Recently, several academic and industrial efforts have begun to explore the use of data, knowledge, and deep inference to build computing systems that learn about the world from texts, images and structured data. While these projects are still in their infancy, we believe knowledge-aware learning and reasoning could be an important step forward.

The goal of this workshop is to bring together researchers working at the forefront of knowledge-based systems to help articulate a vision for the next generation of learning machines and computing systems.

Fei-Fei Li
Associate Professor
Computer Science Department
feifeili [at] cs [dot] stanford [dot] edu
Christopher Re
Assistant Professor
Computer Science Department
chrismre [at] cs [dot] stanford [dot] edu
Jerry Kaplan
Workshop Coordinator
jerrykaplan [at] stanford [dot] edu

Sponsored by: