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Prof. Robert Heath delivered a keynote speech at IEEE Communication Society’s 2018 International Conference on Communications (IEEE ICC).

There is a new app on the market that encourages users to go nuts over healthcare, complete with a squirrely mascot. Created by the founders of Accordion Health and dubbed the “health nuts,” the two new apps, Pistachio and Chestnut, bring medical care back under the control, and into the palms of, users and patients.

An incubator of cutting-edge technologies and digital creativity, SXSW Interactive 2015 featured five days of presentations and panels from the brightest minds in emerging technology. Special programs showcased new websites, video games and startup ideas from the community.

WNCG Faculty and students met on Sunday with researchers from the Center for Transportation Research (CTR) and other UT Austin Cockrell School Engineers during the first-ever UT Village at SXSW Interactive 2015. This year's event featured panels and interactive research demonstrations and was open to all SXSW Interactive 2015 Badge Holders. Click the image below to view the complete slideshow from the day's events.  

In 2013, 32,719 fatalities resulted from traffic crashes, most of which were caused by driver error. Across the globe, people are facing longer commutes and five Texas communities are in the top 26 most congested cities in the United States. Traffic congestion creates about 4.8 billion hours of travel delay and affects the environment through increased carbon footprints and higher fuel consumption.

Prof. Joydeep Ghosh of UT ECE was the keynote speaker at the inaugural Workshop on Divergences and Divergence Learning (WDDl), held in Atlanta, June 2013. In his talk, entitled "Learning Bregman Divergences for Prediction with Generalized Linear Models," which reflects joint work with ECE and WNCG student Sreangsu Acharrya,  an efficient approach to learning a broad class of predictive models was introduced. What is most remarkable about this approach is that model parameters can be estimated even when the loss function is unknown.