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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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Mathematician Molei Tao Receives Sony Faculty Innovation Award
School of Mathematics Associate Professor Molei Tao has been honored for his work on the foundations of machine learning, particularly diffusion generative models.
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The Sherlock Holmes of AI
New tool AI Psychiatry recovers compromised deep-learning models so researchers can understand what went wrong.
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New AI Tool Identifies Better Antibody Therapies
Researchers combine deep learning with advanced sequencing techniques to predict how antibodies interact with antigens.
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ECE Research Group Develops Open-Source Infrastructure to Advance Machine Learning for Hardware Design
Led by Assistant Professor Cong "Callie" Hao, the group is creating an open-source platform that enables hardware developers to contribute designs for use by machine learning practitioners.
Events
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Dec 2
PhD Defense |Towards Interpretable and Controllable Machine Learning Models via Logic Reasoning
Yuan Yang - Machine Learning PhD Student - School of Computational Science and Engineering
