AI at Columbia Engineering
We’re exploring the vast potential of new technologies in this area while ensuring their deployment in responsible ways that benefit us all.
Technology that Touches Every Field
From robots to chat bots, AI applications pervade home and professional life, while the power of computation helps us gain insights and solve problems faster than ever. Advances in this area have the potential to improve life with the discovery and development of novel drugs, more accurate climate models, improved visual search and speech recognition, assistive robots, and much more.
Columbia Engineers work across the University with researchers in the Data Science Institute, the Medical Center, the Business School and many others to make breakthroughs that impact all facets of society. Researchers also work with centers and institutes such as ARNI Center for Artificial and Natural Intelligence, the Columbia Center of Artificial Intelligence Technology in partnership with Amazon, as well as the COSMOS national testbed for wireless applications. At the same time, researchers are also confronting the ethical issues raised by AI and developing responsible and ethical approaches to its use.
AI Discovers That Not Every Fingerprint Is Unique
Columbia engineers have built a new AI that shatters a long-held belief in forensics–that fingerprints from different fingers of the same person are unique. It turns out they are similar, only we’ve been comparing fingerprints the wrong way!
Center and Working Groups
Columbia Center of Artificial Intelligence Technology in collaboration with Amazon
Bettering society through the development and adoption of advanced AI technology contributing to a more secure, connected, creative, sustainable, healthy and equitable humanity.
Computational Science and Engineering
The Initiative for Computational Science and Engineering (iCSE) is an effort to encourage and support interdisciplinary research.
Learning the Earth with Artificial Intelligence and Physics (LEAP)
Learning the Earth with Artificial Intelligence and Physics (LEAP) is an NSF Science and Technology Center (STC) launched in 2021.
Columbia Program for Human-Guided Machine Adaptation in collaboration with the U.S. Army Research Laboratory
The DEVCOM Army Research Laboratory (ARL) is funding a pilot program at Columbia University to develop and evaluate new approaches for Human-Guided Machine Adaptation.
Columbia-Dream Sports AI Innovation Center
Advancing research and workforce development in tech for sports and games using AI and ML.
NSF AI Research Institute for Artificial and Natural Intelligence (ARNI)
Combining AI methods and systems with cognitive and neuroscience insights to transform both fields.
Columbia Center of AI and Responsible Financial Innovation
Advancing AI for the development and deployment of socially responsible financial technologies.
Center for AI in Business Analytics and Financial Technology
Helping organizations use AI to solve hard business problems and bring solutions to market.
Partner Institutes
Data Science Institute
The Data Science Institute (DSI) at Columbia University strives to be a force for change.
Zuckerman Institute
At Columbia’s Zuckerman Institute, we believe that understanding how the brain works — and gives rise to mind and behavior — is the most urgent and exciting challenge of our time.
Earth Institute
The Earth Institute was established in 1995 to advance our understanding of Earth science and apply that knowledge to decisions made by governments and businesses around the world.
Industry Partnerships
Amazon
With the launch of the Center of AI Technology, Columbia and Amazon further aim to advance research and technology development, knowledge discovery, and talent training.
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Dream Sports
The Columbia-Dream Sports AI Innovation Center brings together Columbia University and Dream Sports to advance research and workforce development in sports technology.
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Capital One
This 5-year, $3m center will leverage Columbia’s strengths in AI, ML, and finance to advance research and education in innovative financial technologies.
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Ask Us Anything: Richard Zemel Highlights
Richard Zemel is a professor of computer science and the Trianthe Dakolias Professor of Engineering and Applied Science. His research focuses on machine learning and artificial intelligence.
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View All Research NewsUpcoming Events
View All EventsSeptember 12
Symposium on AI and Sports - Hosted by the Columbia-Dream Sports AI Innovation Center
9:00 AM - 4:00 PM
Symposium on AI and Sports - Hosted by the Columbia-Dream Sports AI Innovation Center
September 23
Sustainable Cloud Computing and AI - Hosted by the Data Science Institute, Columbia Engineering, and IBM
2:00 PM - 5:00 PM
Sustainable Cloud Computing and AI - Hosted by the Data Science Institute, Columbia Engineering, and IBM
September 24
Accelerating Commercial Fusion: the Role of Industry and Academia
3:00 PM - 7:00 AM
Accelerating Commercial Fusion: the Role of Industry and Academia