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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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At the Intersection of Climate and AI, Machine Learning is Revolutionizing Climate Science
A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists might play.
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Research Team Recognized for Improved AI Model Training Method
The group was the runner-up for the Best Paper Award at 2024 IEEE International Conference on Big Data for their research on reducing software regression.
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What's Next for AI in 2025: Q&A with Associate Professor Wei Xu
Associate Professor Wei Xu, a leading researcher from Georgia Tech's School of Interactive Computing, thinks multilingual and multi-modal models might be the next big thing in AI.
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Researchers Say AI Copyright Cases Could Have Negative Impact on Academic Research
Two years since OpenAI introduced ChatGPT, dozens of lawsuits have been filed alleging technology companies have infringed copyright by using published works to train artificial intelligence (AI) models.
Academic AI research efforts could be significantly hindered if courts rule in the plaintiffs' favor.
Desai and Riedl are Georgia Tech researchers raising awareness about how these court rulings could force academic researchers to construct new AI models with limited training data. The two collaborated on a benchmark academic paper that examines the landscape of the ethical issues surrounding AI and copyright in industry and academic spaces.
Events
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Feb 12
ML@GT Seminar Series | Just Asking Questions
Featuring Jacob Andreas, Massachusetts Institute of Technology
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Jan 29
ML@GT Seminar Series | Domain Counterfactuals for Explainability, Fairness, and Domain Generalization
Featuring David Inouye, Purdue University
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Apr 9
IRIM Spring 2025 Seminar
Featuring Gaurav Sukhatme | University of Southern California
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Mar 26
IRIM Spring 2025 Seminar
Featuring Sebastian Scherer | The Robotics Institute at Carnegie Mellon
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Mar 5
IRIM Spring 2025 Seminar
Featuring Maani Ghaffari | U. Michigan Robotics
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Feb 19
IRIM Spring 2025 Seminar
Featuring Ufuk Topcu | University of Texas Austin
