News

Although advanced neural networks continue to dramatically improve the capabilities of artificial intelligence systems, they are associated with substantial energy use. In an effort to address this problem a growing number of organisations are focused on the creation of technologies designed to reduce energy use in the training and operation of such systems.

RCR Wireless News, a leading source of wireless, telecom and mobile technology news and actionable intelligence since 1982, named WNCG Prof. Jeff Andrews to their top 10 list of Industrial Internet-of-Things (IoT) 5G Innovators. His inclusion in the list is part of a greater list focused on recognizing the top international leaders fueling what RCR Wireless calls the Fourth Industrial Revolution - a revolution focused on futuristic, next-generation industrial IoT applications and the mobile telecommunications industry.

The 12th annual Texas Wireless Summit (TWS) provides a forum on emerging technology and business models for industry leaders and academics. Hosted by UT Austin's Wireless Networking and Communications Group (WNCG), the Summit offers direct access to cutting-edge research and innovations from industry leaders, investors, academics and startups.

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.