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Georgia Institute of Technology

Located in Atlanta, Georgia, the Georgia Institute of Technology is a leading research university committed to improving the human condition through advanced science and technology.

As a leading technological university, Georgia Tech has more than 100 centers focused on interdisciplinary research that consistently contribute vital research and innovation to American government, industry, and business.

Visit the Georgia Institute of Technology webiste.

The ability to mobilize, from outside the body, targeted cancer immunotherapy inside the body has taken a step closer to becoming reality.
Researchers at the Georgia Institute of Technology have developed a decoy robot designed to keep factories and other large facilities safe from hackers.

Engineers at the Georgia Institute of Technolgy have developed a new catalyst that speeds up oxygen processing and can easily convert chemical fuel into electricity.

The Army Community Service (ACS), a program designed to provide a vast array of social services to soldiers’ families, is working with the Georgia Tech Research Institute on a sweeping project to revamp the program's information systems.
A new data analysis that has untangled evidence amassed in years of Alzheimer’s studies encourages researchers to refocus their investigations.
A new login authentication approach could improve the security of current biometric techniques that rely on video or images of users’ faces.
Georgia Tech researchers analyzed the archived mission reports from the Apollo moonwalks to see how well moonwalkers were able to stick to their expected timelines.
Georgia Tech researchers have created technology that allows people to trace letters and numbers on their fingers and see the figures appear on a nearby computer screen.
A new software system being developed by cybersecurity researchers at the Georgia Institute of Technology will largely automate the process of assessing the extent of network or computer system attacks.
Researchers at the Georgia Institute of Technology have developed a new software program that predicts cancer drug effectiveness via machine learning and raw genetic data.