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What is Machine Learning?
Machine learning aims to produce machines that can learn from their experiences and make predictions based on those experiences and other data they have analyzed. The Machine Learning Center at Georgia Tech (ML@GT) is an Interdisciplinary Research Center that is both a home for thought leaders and practitioners and a training ground for the next generation of pioneers.
The field of machine learning crosses a wide variety of disciplines that use data to find patterns in the ways both living systems, such as the human body and artificial systems, such as robots, are constructed and perform. Whether it’s being applied to analyze and learn from medical data, or to model financial markets, or to create autonomous vehicles, machine learning builds and learns from both algorithm and theory to understand the world around us and create the tools we need and want.
Recent News
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Events
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Oct 20
2025 Generative AI Summit
Hosted by the College of Computing and IDEaS
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Oct 15
IRIM Fall 2025 Seminar | Foundation Models for Robotic Manipulation: Opportunities and Challenges
Featuring Yunzhi Li - Assistant Professor of Computer Science, Columbia University
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Nov 12
IRIM Fall 2025 Seminar | Unleashing Creativity with Generative Design and Bimanual Robotic Assembly
Featuring Changliu Liu - Associate Professor, The Robotics Institute at Carnegie Mellon University
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Nov 5
Machine Learning Seminar Series Fall 2025 | Featuring Roni Sengupta - Assistant Professor of Computer Science, University of North Carolina, Chapel Hill
Featuring Roni Sengupta - Assistant Professor of Computer Science, University of North Carolina, Chapel Hill
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Apr 15
IRIM Spring 2026 Seminar Series | Featuring - Amy Orsborn, University of Washington
Featuring - Amy Orsborn, University of Washington
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Apr 1
IRIM Spring 2026 Seminar Series | Featuring Sarah Bergbreiter - Professor, Associate Head for Strategic Initiatives, Mechanical Engineering @ CMU
Featuring Sarah Bergbreiter - Professor, Associate Head for Strategic Initiatives, Mechanical Engineering @ CMU