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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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Georgia Tech Presents Latest in Machine Learning Research at Computer Vision and Pattern Recognition Conference June 19-24
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CIFAR Selects Eva Dyer for Global Scholars Research and Leadership Development Program
Two-year program provides mentoring, skills development, and unrestricted funding to a small group of early career researchers.
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New Framework for Cooperative Bots Mimics High-Functioning Human Teams, Decreases Risks from Unreliable Bots
A Georgia Tech research group in the School of Interactive Computing has developed a robotics system that exceeds existing standards for collaborative bots that work independently to achieve a shared goal.
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AF2Complex: Researchers Leverage Deep Learning to Predict Physical Interactions of Protein Complexes
Proteins are the molecular machinery that makes life possible, and researchers have long been interested in a key trait of protein function: their three-dimensional structure. A new study by Georgia Tech and Oak Ridge National Laboratory details a computational tool able to predict the structure of protein complexes – and lends new insights into the biomolecular mechanisms of their function.
Events
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Jul 11
ML PhD Dissertation Defense: Representation and Statistical Properties of Deep Neural Networks on Structured Data
Minshuo Chen, Machine Learning PhD Student, School of Industrial and Systems Engineering
