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.

Recent years have radically changed the way people socialize; in parts of the developed world that have good broadband and cellular penetration, the average person now spends more time on online social networks than on physical meetings with acquaintances outside their immediate family.

When studying Social Networks, the public mind does not often consider the enormous impact the field of Electrical Engineering has on the development of these networks. “Many tools that traditionally belonged to applied mathematics and electrical engineering have proven to be very useful in social networks,” WNCG Prof. Constantine Caramanis states.

Recent years have radically changed the way people socialize; in parts of the developed world that have good broadband and cellular penetration, the average person now spends more time on online social networks than on physical meetings with acquaintances outside their immediate family. “We were socializing before social networks,” Prof. Sujay Sanghavi states. “But now we can automatically capture fine details of social interaction, such as when someone views a photo and how they share and interact with the image.” The problem now is the issue of information overload.