Cross-disciplinary Research Highlighted in This Year’s Distinguished Lectures Series
The Distinguished Lecture series brings computer scientists to Columbia to discuss current issues and research that are affecting their particular fields. This year, eight experts covered topics ranging from machine learning, human-computer interaction, neural language models, law and public policy, psychology, and computer architecture.
Below are a couple of the lectures from prominent faculty from universities across the country.
- Three Ways Machine Learning Fails and What to Do About Them
Costis Daskalakis, MIT
- Intuitive Reasoning as (Un)supervised Neural Generation
Yejin Choi, University of Washington
- Computer Science and Law: Opportunities and Research Directions
Joan Feigenbaum, Yale
- Data Orchestration is the New Compute: Computer Architecture for the Post-Moore
Era Joel Emer, NVIDIA/MIT
- Theoretical Reflections on Quantum Supremacy
Umesh Vazirani, UC Berkeley
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