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The Machine Learning Department at Carnegie Mellon University is a place for people who want to advance the future of AI through research, education, and innovation. As the world's first academic department dedicated to machine learning, MLD combines excellence in foundational research with real-world impact.

A strength of the department is its collaborative culture, with faculty and students working across disciplines including robotics, computer science, statistics, engineering, neuroscience, public policy, and the life sciences. This interdisciplinary environment creates unique opportunities to solve important problems, develop new ideas, and make meaningful contributions to machine learning and society.

Upcoming Events

  • Tom Mitchell: Still Converging - A 75th Birthday Symposium 
    Monday, November 16, 10 am - 4 pm
    Pittsburgh, PA
    Details TBD

Learn with us

  • Podcast with Founders University Professor Tom Mitchell
    Machine Learning: How Did We Get Here
    In a series of conversations with the pioneers of machine learning, Founders University Professor Tom Mitchell traces the history of the field through the people who built it.

    Listen in
  • Introduction to Modern AI with Professor and MLD Head Zico Kolter
    This course guided CMU students through the basic methods that implement a basic AI chatbot. Participants learned the basics of supervised machine learning, large language models, and post-training. By the end of the course students were able to write the code that runs an open source LLM from scratch, as well as train these models based upon a corpus of data.  The class took place in Spring 2026 - lecture videos are available.

    Check it out
  • ML @ CMU Blog
    Bringing you the latest research in machine learning and related fields at Carnegie Mellon University. Written by students.

    Read it here