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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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Scholars Optimize Scientific Models with the Power of Artificial Intelligence
Scientists are always looking for better computer models that simulate the complex systems that define our world. To meet this need, a Georgia Tech workshop held Jan. 16 illustrated how new artificial intelligence (AI) research could usher the next generation of scientific computing.
The workshop focused AI technology toward optimization of complex systems. Presentations of climatological and electromagnetic simulations showed these techniques resulted in more efficient and accurate computer modeling. The workshop also progressed AI research itself since AI models typically are not well-suited for optimization tasks.
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Wenjing Liao to Address American Mathematical Society Meeting
Liao, associate professor in the School of Mathematics, will lecture on machine learning and deep learning at the American Mathematical Society (AMS) Southeastern Sectional Meeting on March 23-24, 2024, at Florida State University in Tallahassee.
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Atlanta Researchers Use Mellon Grant to Launch New AI Ethics Network
Atlanta communities most vulnerable to bias and inequity in artificial intelligence (AI) are the focus of a new Atlanta-based ethics initiative being funded by a $1.3 million Mellon Foundation grant.
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Machine Learning Animation Tool Takes Best Poster Prize at Visualization Conference
Ph.D. student Alec Helbling is the creator of ManimML, a tool that renders common ML concepts into animation. This development will enable new ML technologies by allowing designers to see and share their work in action.
Helbling presented ManimML at IEEE VIS, the world’s highest-rated conference for visualization research and second-highest rated for computer graphics. It received so much praise at the conference that it won the venue’s prize for best poster.
Events
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Apr 3
ML@GT Seminar Series | Flow-based generative model by Wasserstein proximal gradient descent
Featuring Xiuyuan Cheng, Duke University
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Mar 27
ML@GT Seminar Series | Learning for Reliable Control in Dynamical Systems
Featuring Yisong Yue, California Institute of Technology
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Mar 27
IRIM Spring 2024 Seminar | A Symbiotic Philosophy for Bio-Inspired Robotics
Featuring Talia Moore, U. Michigan Robotics
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Apr 10
IRIM Spring 2024 Seminar Featuring | Stefanie Tellex (tentative); Brown University
Featuring | Stefanie Tellex (tentative); Brown University
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Apr 17
ML@GT Seminar Series | Featuring Wesley Marrero, Dartmouth College
Featuring Wesley Marrero, Dartmouth College