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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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Ivan Allen College to Offer AI Applications Minor in Conjunction with Engineering
Starting this summer, students at Ivan Allen College of Liberal Arts will be able to earn a new minor in applications of artificial intelligence and machine learning designed to help them demonstrate their knowledge to prospective employers.
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Transforming Package Delivery with AI Solutions
Stefan Faulkner's journey from the Caribbean to the cutting-edge AI4OPT at Georgia Tech showcases a remarkable blend of diverse backgrounds and pioneering research, setting new benchmarks in optimization and AI to tackle real-world issues and shape a future where innovation meets application.
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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.
Events
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Apr 22
PhD Defense | Generalizable and Explainable Methods for Learning from Physiological Data and Beyond
Ran Liu - Machine Learning PhD Student - School of Electrical and Computer Engineering