Georgia Tech has been actively engaged in AI research and education for decades, with more than 250 faculty working in fundamental and applied AI-related research across all six colleges, Georgia Tech Research Institute (GTRI), and the majority of interdisciplinary research institutes and centers. The Institute has a strong foundation and advantage in AI, as the leading engineering university with an applied, solutions-focused approach.
AI at Georgia Tech will lead in developing new paths in educating and training the next generation of the AI workforce. Additionally, it will serve as a dedicated space for decision makers and other stakeholders to access best-in-class resources to guide them through the complexities of commercializing and deploying AI.
Our Vision and Mission
Georgia Tech will advance enterprise AI through discovery, interdisciplinary research, and next-generation education to build a sustainable future.
Our mission is to establish a research community that leverages the Georgia Tech interdisciplinary context, trains the next generation of AI pioneers, and is home to current leaders in AI. As we train and educate the next generation, we also understand how crucial a safe and inclusive environment is to succeed. As researchers who will create technology that impacts millions worldwide, we have the ability to make change that goes beyond our classroom and lab walls, affecting people on an individual, systemic, and societal level.
AI at Georgia Tech is made up of hundreds of students, faculty, and staff from across campus, bringing different perspectives and experiences to our center. These diverse backgrounds and contributions are what makes AI at Georgia Tech unique and strong.
AI Communities Across Campus
Advanced Computing and Artificial Intelligence Division (ACAID)
Part of the Georgia Tech Research Institute (GTRI), ACAID has a broad and deep expertise in analytic techniques and AI tools, ranging from statical approaches to various types of machine learning.
Assured Software and Information Division (ASID)
CIPHER develops and implements rigorous analytical methods to assure the security and integrity of data, software, algorithms, and cyber-connected devices.
Ethics, Technology, and Human Interaction Center (ETHICx)
ETHICx advances ethics-in-technology-centered research, education, and engagement at Georgia Tech in collaboration with communities, government, non-governmental organizations, and industry.
Georgia Artificial Intelligence Manufacturing Corridor (Georgia AIM)
Through innovation, collaboration, education, and participation, Georgia AIM provides the tools and knowledge to empower communities to participate fully in a diverse AI manufacturing workforce.
Institute for Data Engineering and Science (IDEaS)
IDEaS pursues grand challenges in data science foundations and data-driven discovery in engineering and sciences through interdisciplinary multi-investigator endeavors.
Institute for People and Technology (IPaT)
IPaT researchers support research, engage students, and collaborate with industry, government, and non-profit partners.
Institute for Robotics and Intelligent Machines (IRIM)
IRIM serves as an umbrella under which robotics researchers, educators, and students from across campus come together to advance many diverse robotics activities.
ML@GT
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 NSF AI Institute for Adult Learning and Online Education (AI-ALOE)
AI-ALOE aims to develop an AI-based transformative model for online adult learning.
The NSF AI Institute for Advances in Optimization (AI4OPT)
AI4OPT aims to deliver a paradigm shift in automated decision making at massive scales by fusing AI and Mathematical Optimization (MO), to deliver breakthroughs that neither field can achieve independently.
The NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING)
AI-CARING aims to develop the next generation of personalized collaborative AI systems that improve the quality of life and independence of aging adults living at home.
TReNDS
The Tri-institutional Center for Translational Research in Neuroimaging and Data Science is focused on developing, applying and sharing advanced analytic approaches and neuroinformatics tools that leverage advanced brain imaging and omics data, with a goal of translating these approaches into biomarkers that can help address relevant areas of brain health and disease. This center is an effort among Georgia State University, Georgia Tech, and Emory University.
Vince Calhoun, Director
Publications and Media
Researchers across campus consistently publish papers and organize workshops at top conferences in the world. On average, Georgia Tech is ranked in the top five for most accepted papers at the premier conferences every year. News coverage of our experts and their work has been featured in publications like Wired, BBC News, TechCrunch, Newsweek, and Vogue.
Funding
AI research at Georgia Tech is funded by organizations like DARPA, NSF, NIH, DOE, industry partners, and more.