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2016 News
Register for 3 Minute Thesis Competition by Sept. 12
Register by Sept. 12 for the 2016 Three Minute Thesis competition.
Become A Research Ambassador
Promote social science research on campus by joining the Undergraduate Research Ambassadors program.
Amazon Web Services Joins Georgia Tech’s Internet of Things Research Center
The Georgia Tech Center for the Development and Application of Internet of Things Technologies has expanded to include Amazon Web Services.
Georgia Tech to Implement 11 Gender Equity Initiatives Over the Next Two Years
Following the Office of the President’s listening sessions on gender equity last fall, Georgia Tech identified 11 initiatives that will be implemented over the next two years.
Georgia Tech Moves Forward with 11 Recommendations from the Black Student Experience Task Force to Ensure a Welcoming, Inclusive Campus
The Black Student Experience Task Force presented its 11 recommendations to President G.P. “Bud” Peterson late last spring. All recommendations were approved and will be implemented over the next three academic years.
Turning Ideas into Successful Startups
The 20 teams participating in this year’s Startup Summer programs will demonstrate their products Tuesday at the Fox Theatre
Egerstedt Named as Hightower Chair Professor
Magnus Egerstedt has been appointed as the Julian T. Hightower Chair Professor in Systems and Controls in the Georgia Tech School of Electrical and Computer Engineering (ECE), effective August 1.
Researchers Develop a Low-power Always-on Camera With Gesture Recognition
The always-on camera could be used in a wide array of products from security to consumer electronics.
Undergraduate Research and Student Innovation: The Skills to Shape Our World
If your student is ready for a challenge, likes working beyond the traditional boundaries of coursework, and wants to participate in something “hands-on,” then undergraduate research is a must.
Georgia Tech to Co-lead NSF Center for Advanced Electronics Through Machine Learning with UIUC and NCSU
The Center for Advanced Electronics through Machine Learning (CAEML) seeks to accelerate advances by leveraging machine-learning techniques to develop new models for electronic design automation (EDA) tools create and verify chip designs for market.
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