News

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Alex Dimakis to Serve on AI Commission of the US Chamber of Commerce

Jan. 25, 2022
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.
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Shrinking massive neural networks used to model language

Dec. 3, 2020
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.
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AI can now defend itself against malicious messages hidden in speech

May 17, 2019
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. 
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WNCG Receives Huawei Award for Best Collaboration

Sept. 6, 2016
WNCG Profs. Gustavo de Veciana and Jeff Andrews recently received an award for Best Collaboration with the wireless group at Huawei. This international award goes to a funded university collaboration the company deems most impactful from among their offices and partner institutions worldwide.   “We are very pleased to accept this award,” Prof. de Veciana states. “The experience of working with engineers at Huawei has been very rewarding and fun.”   The collaborative research project concerned the study of new scheduling policies for next generation wireless systems.