what is ai@nyu?
We are in the middle of an Artificial Intelligence revolution. Its impact is already great in many spheres of human undertaking and across disciplines, from social sciences to new material and drug discovery, to better decision-making in health, business, and government. NYU researchers play a major role in the AI revolution; we are the home of many stellar faculty in both AI research and AI applications.
AI@NYU highlights the many activities in AI at NYU. Please browse the various sections of the site and reach out to us with any questions!
news & announcements
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Professor He He and PhD Candidate Hannah Rose Kirk Win NeurIPS 2024 Best Paper Award for PRISM Alignment Dataset
At the prestigious NeurIPS 2024 conference, Hannah Rose Kirk and Professor He He received the Best Paper Award in the Datasets & Benchmarks track for their remarkable work on the PRISM Alignment Dataset. This dataset provides critical insights into the subjective and multicultural alignment of LLMs. With data from 75 countries and diverse demographics, their work benchmarks over 20 cutting-edge models and addresses challenges in Reinforcement Learning with Human Feedback (RLHF).
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Professor Yann LeCun is honored as a "Great Immigrant" by the Carnegie Corporation, Congratulations!
Every Fourth of July, Carnegie Corporation of New York celebrates remarkable Americans — all naturalized citizens — who have enriched and strengthened our democracy through their actions and contributions. Professor Yann LeCun of NYU has been chosen in the class of 2024.
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This AI Model Can Make Creative Connections Puzzles
Researchers at NYU including Timothy Merino tested GPT-4's ability to create puzzles like The New York Times' "Connections." They found that while LLMs struggle with anticipating human reasoning, breaking down tasks into subtasks allowed GPT-4 to generate puzzles comparable in quality to human-made ones, with players rating many AI-generated puzzles as equally challenging and creative.
upcoming events
There are no upcoming events.
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.
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.
Natural Language Processing
Natural language processing (NLP) develops methods for processing text data and speech, e.g., machine translation, conversational agents and text summarization.
Robotics AI
Robotics AI is concerned with designing systems, independently interacting with their physical environment, such as industrial robots, drones, and self-driving cars.
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.
