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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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Researchers Reveal Roadmap for AI Innovation in Brain and Language Learning
A new study co-led by School of Psychology's Anna (Anya) Ivanova uncovers the relationship between language and thought in artificial intelligence models like ChatGPT, leveraging cognitive neuroscience research on the human brain. The results are a roadmap to developing new AIs — and to better understanding how we think and communicate.
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Democratizing AI: A Course on Large Language Models for IT Professionals and Citizen Developers
Large Language Models (LLMs) are transforming the technology landscape within higher education – allowing institutions to automate complex tasks, extract insights from vast amounts of data, and interact with users through natural language interfaces. The Office of Information Technology has partnered with the academic community in an initiative that educates IT professionals and business citizen developers on how to effectively use LLMs in enterprise settings.
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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.
Events
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Apr 17
ML@GT Seminar Series | Data-Driven Decision Making in Healthcare Applications: From opioid use disorder and organ transplantation to mental health and cardiovascular disease
Featuring Wesley Marrero, Dartmouth College
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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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Apr 10
IRIM Spring 2024 Seminar Featuring | Stefanie Tellex (tentative); Brown University
Featuring | Stefanie Tellex (tentative); Brown University