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The third Data Science in Public Health Summit at Columbia Mailman highlighted data science innovations in tackling health challenges.
A CBS Digital Future Initiative panel tackles the question of how generative AI is redefining human creativity.
Columbia engineers have developed an AI that challenges the belief that fingerprints from different fingers are unique. Led by undergraduate Gabe Guo, the team used AI to analyze 60,000 fingerprints, achieving up to 77% accuracy in identifying prints from the same person.
A new computational facility will be used by the University and six other research institutions to promote responsible research and development.
Research from Columbia Business School analyzes trends in workplace AI investment, revealing new shifts for the everyday worker.
Physicians, researchers, academics, and industry leaders gathered to discuss the future of artificial intelligence in health care.
Roboticist Hod Lipson on AI and ChatGPT and how they‘re changing our world — and us.
Elham Azizi, named 2024 Early-Career Scientist, is advancing cancer research with AI and data. Her machine-learning models analyze genomic data, driving personalized therapies and identifying factors in immunotherapy response.
An unprecedented volume of health data demands a new generation of scientists equipped to translate data into improved health outcomes—and do so ethically.
The new AI Institute for Dynamic Systems, in partnership with UW and Harvard, will focus on developing new machine learning techniques.
New Research Center of Artificial Intelligence Technology focuses on advancing innovation in AI technologies.