Research at Georgia Tech

Machine learning has been around for decades, but the advent of big data and more powerful computers has increased its impact significantly, moving machine learning beyond pattern recognition and natural language processing into a broad array of scientific disciplines. A subcategory of artificial intelligence, machine learning deals with the construction of algorithms that enable computers to learn from and react to data rather than following explicitly programmed instructions. Georgia Tech researchers are exploring machine learning for robotics, decision support tools, rehabilitation and a host of other applications.

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Research at Georgia Tech

Advancing at the Intersection

Important discoveries often take place at the intersection of disciplines. Georgia Tech's research enterprise encourages the kinds of multidisciplinary collaboration that makes these advances possible.

We've broken down the barriers between our schools, colleges and interdisciplinary research organizations to provide federal agencies, companies, and philanthropic organizations the results they need from research investments.




Georgia Tech consistently ranks among the top U.S. universities in the volume of research conducted, and and in 2016, we conducted $791 million in research. But addressing critical research challenges isn’t enough. We’re also moving these solutions out into the world through commercialization and technology transfer, creating an innovation ecosystem to benefit stakeholders ranging from students to startup companies.


To learn more about the specifics of Georgia Tech research, please visit our research areas page. And for the latest research news, visit our Research Horizons page and subscribe to our monthly e-newsletter.

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Georgia Tech researchers are advancing the basic and applied science of machine learning.

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Georgia Institute of Technology
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Phone: 404-894-2000