News

WNCG professor Alex Dimakis of has been invited to serve as a member of the AI Commission of the US Chamber of Commerce. The Commission on Artificial Intelligence Competitiveness, Inclusion, and Innovation (AI Commission) will research and recommend artificial intelligence policies as it relates to regulation, international research and development competitiveness, and future jobs. The AI Commission will convene field hearings in key locations around the U.S. and internationally to explore these critical issues.

A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing. WNCG student Tianlong Chen is the lead author of a study in artificial intelligence that posits that hidden within massive neural networks, leaner subnetworks exist that can complete the same task more efficiently. The study is co-authored by WNCG assistant professor Zhangyang "Atlas" Wang, along with Jonathan Frankle of MIT CSAIL, and Shiyu Chang, Sijia Liu, and Yang Zhang, all of the MIT-IBM Watson AI Lab.

Text was considered relatively safe from adversarial attacks, because, whereas a malicious agent can make minute adjustments to an image or waveform of sound, it can’t alter a word by, say, 1%. But Prof. Alex Dimakis of Texas ECE and his collaborators have investigated a potential threat to text-comprehension AIs.  The research was led by UT student Qi Lei and collaborators at IBM Research and Amazon. The study was published in SysML 2019 and covered by Nature News. 

WNCG faculty member Evdokia Nikolova is co-organizer for a semester-long program on Real-Time Decision Making at UC Berkeley. The program is hosted by the Simons Institute for the Theory of Computing, a collaborative research institute which is a leader in theoretical computer science.

WNCG Prof. Lili Qiu has been named an IEEE Fellow. She is being recognized for “contributions to wireless network management.” The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed one-tenth of one-percent of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement.