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upcoming events

Event date, time, and location Event title Link to event page
Feb. 21, 05:34AM
Emily Black (CDS)
CDS Seminar Series: Opportunities and Tensions for Fairness in AI & GenAI Systems
60FA Room 7th floor open space
Feb. 21, 04:00PM
Professor Shirley Ho
ML in NYC Speaker Series + Happy Hour: Building Pan-Scientific Foundation Models
Location TBA
Feb. 24, 11:00AM
Matthias Troyer
Hope Versus Hype: Quantum, AI, and the Path to Commercial Advantage
370J Room 1201
Feb. 24, 05:30PM
Lalitha Sankar, Arizona State University
Math & Democracy: Understanding Last Layer Retraining Methods for Fair Classification: Theory and Algorithms
60FA Room 650
Feb. 27, 08:00AM
Dr. Sarah Eaton
Location TBA
Feb. 27, 11:00AM
Aviral Kumar (CMU)
NLP and Text-as-Data Speaker Series
60FA Room 150

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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