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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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New Faculty Wants to Secure AI in the Wild
Teodora Baluta, a new assistant professor in Georgia Tech's School of Cybersecurity and Privacy, focuses her research on securing generative AI systems by analyzing the algorithms and datasets behind them to prevent data misuse or theft. Building on her Ph.D. work from the National University of Singapore, Baluta aims to develop machine learning systems with built-in security measures and study issues like detecting deep fakes and identifying malicious AI use. She is seeking Ph.D. students to collaborate on these initiatives, which have already earned her recognition from major tech organizations like Google and Microsoft.
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Nuclear Energy’s Renaissance Thanks to AI Needs
Constellation Energy plans to restart Three Mile Island Unit 1, supported by Microsoft, to provide carbon-free energy for AI data centers. This move highlights nuclear energy’s growing role, with safety upgrades and economic benefits, pending regulatory approval. Dr. Anna Erickson from Georgia Tech emphasizes the importance of rigorous safety measures.
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SKYSCENES Leverages New Algorithms to Improve Safety for Autonomous Flying Vehicles
Georgia Tech researchers have created a new benchmark dataset of computer-generated aerial images. Judy Hoffman, an assistant professor at Georgia Tech’s School of Interactive Computing, worked with students to create SKYSCENES, a dataset containing over 33,000 computer-generated aerial images of cities.
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Georgia Tech Cloud Hub Advances Generative AI Research with Microsoft Support
This successful initiative was made possible through the generous support of Microsoft, whose contribution of research resources has empowered Georgia Tech researchers to explore new frontiers in GenAI.
Events
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Oct 23
Special Seminar | Intelligent Machines Inspired by Living Systems
Featuring Poramate Manoonpong | 1Bio-Inspired Robotics & Neural Engineering Laboratory, School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand
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Oct 23
ML@GT Seminar Series | A Picture of the Prediction Space of Deep Neural Networks
Featuring Pratik Chaudhari, University of Pennsylvania
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Oct 30
IRIM Fall 2024 Seminar | Neuro-symbolic Robot Cognition
Featuring Katia Sycara | The Robotics Institute at Carnegie Mellon University
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Nov 20
ML@GT Seminar Series | Mike Lewis, Facebook AI Research
Featuring Mike Lewis, Facebook AI Research
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Nov 6
ML@GT Seminar Series | Ananda Theertha Suresh, Google Research
Featuring Ananda Theertha Suresh, Google Research
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Nov 13
IRIM Fall 2024 Seminar Session VI
Featuring Nima Fazeli | Robotics Institute & Mechanical Engineering Department, University of Michigan
