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5G technology will play a major role in the future of automotive systems. Exactly how this technology will be implemented is still up for debate. To discuss current research and possible directions for 5G, industry experts met in New York for the Brooklyn 5G Summit in April 2016. The annual summit, jointly organized by Nokia Networks, the NYU WIRELESS Center and the NYU Tandon School of Engineering, discussed next steps for making 5G a commercial reality, which includes channel models, millimeter wave communication, regulatory aspects and the evolving Internet-of-Things (IoT) space.

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.