Columbia University · School of Engineering and Applied Science

The hub for core AI research at Columbia

CAIL brings together faculty and students across the engineering school working on machine learning, vision, language, robotics, and the foundations of AI.

ML Seminar · Mon, Oct 26 · 10:00 AMML Seminar · Mudd 417 conference room

Less is More: Bypassing Some Empirical Overhead in Language Modeling Hanlin Zhang, Harvard

Agents Seminar · Tue, Oct 27 · 12:00 PMAgents Seminar · 453CSB

Towards Building Frontier Coding Benchmarks Soham Dan, Scale AI

ML Seminar · Fri, Nov 20 · 8:30 AMML Seminar · Columbia Business School

Columbia Workshop on Continual Learning
Our community

People of CAIL

64 Faculty
205 Students & postdocs
20 Departments

Meet the lab

What we study

Research Areas

01Agents 02Bioinformatics 03Causality 04Deep Learning 05Explainable AI 06Graphics 07ML Theory 08Natural Language 09Optimization 10Probabilistic ML 11Reinforcement Learning 12Robotics 13Statistical ML 14Vision
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The Core AI Lab advances the foundations of artificial intelligence and puts them to work in science and society.