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upcoming events

Event date, time, and location Event title Link to event page
Sept. 30, 11:00AM
Hongyang Li, University of Hong Kong
ECE Seminar Series: Towards Generalizable and Intelligent System for Robotic Manipulation
370J Room 1201
Oct. 01, 03:30PM
Ludovic Righetti
CILVR Seminar: Learning complex robotic behaviors with optimal control
60FA Room 7th floor open space
Oct. 03, 09:00AM
"Jen Allen, Chris Barrie, Bart Bonikowski Meredith Broussard, Siwei Cheng, David Cesarini Alfred Galichon, Guillaime Frechette Sandy Handan-Nader, Bk Lee Tal Linzen, Bryant Moy, Timon McPhearson Hilke
Location TBA
Oct. 03, 10:45AM
Katrina Knauer
CBE Seminar: Designing for Circularity: Recycling Technologies and AI-Driven Plastic Redesign
Location TBA
Oct. 03, 02:00PM
Qi Lei
CDS Colloquium: Virtues and Pitfalls of Weak-to-Strong Generalization: From Intrinsic Dimensions to Spurious Correlations
60FA Room 150
Oct. 06, 06:00PM
Hyunseung Hwang
Global AI Frontier Lab Seminar Series: SHAP-based Explanations are Sensitive to Feature Representation (ACM FAccT 2025)
1MTC
Oct. 09, 04:00PM
Yufei Zhang, Imperial College London
Columbia-NYU Financial Engineering Colloquium: An alpha-potential game framework for multi-agent system
Location TBA

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Machine learning

Machine learning (ML) is concerned with creating algorithms for constructing predictive models from data and is a foundation for the rest of AI.

 Photo of Machine learning

Computer Vision

Computer vision is an area in AI that deals with the construction of explicit, meaningful measurements and descriptions of physical objects from images.

Computer vision graphic

Natural Language Processing

Natural language processing (NLP) develops methods for processing text data and speech, e.g., machine translation, conversational agents and text summarization.

Natural Language Processing graphic

Robotics AI

Robotics AI is concerned with designing systems, independently interacting with their physical environment, such as industrial robots, drones, and self-driving cars.

Autonomous Robotics graphic

AI for Healthcare and Medicine

One of the most important applications of AI has been to healthcare. NYU is a pioneer in applying breakthrough machine learning techniques to healthcare, facilitated by close ties between NYU's School of Medicine and the multiple AI research laboratories at NYU.

Healthcare graphic