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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Jan. 26, 2026 | The New York Times - AI Pioneer Yann LeCun Warns the Tech Industry Is Heading Toward a “Dead End”
In a New York Times article, AI pioneer Yann LeCun argues that much of today’s tech industry is pursuing a flawed path toward artificial intelligence, warning that the current obsession with large language models may stall progress toward truly intelligent machines.
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NYU Professor Kyunghyun Cho Delivers NeurIPS 2025 Keynote on “Problem Finding in AI Research”
On December 5, 2025, Professor Kyunghyun Cho presented a widely praised NeurIPS keynote exploring the importance of identifying foundational problems in AI research.
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NYU Researchers receive best paper award at ICML 2025 Workshop
NYU Researchers Vlad Sobal, Wancong Zhang, Kyunghyun Cho, Tim G. J. Rudner, and Yann LeCun received a best paper award at the ICML 2025 Workshop "Building Physically Plausible World Models"
upcoming events
| Event date, time, and location | Event title | Link to event page | ||
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March 09, 06:00PM
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Pierre Musacchio
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Global AI Frontier Lab Seminar: TBD
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Location TBA
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March 10, 04:30PM
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Rumi Chunara, David Fenyo
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Computational Biomedicine seminar series: "Evaluating and Mitigating Clinical LLM Challenges Across Heterogeneous Healthcare Systems" AND "Characterization of the Tumour Microenvironment Using Multipl
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370J
Room
1201
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March 12, 02:00PM
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Matt Lentz
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Technology Management and Innovation: From Prompt to Performance: Applying AI to Enterprise Consulting
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Location TBA
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March 31, 12:30PM
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Sean Taylor (OpenAI)
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Tech, Ops, and Stat Colloquium Seminars: TBD
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Location TBA
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April 02, 11:00AM
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Shailee Jain (UCSF)
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Minds, Brains, and Machines (MBM): TBD
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Location TBA
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April 03, 02:00PM
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Aukosh Jagannath
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CDS Seminar Series: TBD
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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.
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.
