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Over the past decade, the world has seen tremendous increases in the deployment of artificial intelligence (AI) technology. The main horsepower behind the success of AI systems is provided by deep learning models and machine learning (ML) algorithms. Recently, a new AI paradigm has emerged: Automated Machine Learning (AutoML) including its subfield Neural Architecture Search (NAS). State-of-the-art ML models consist of complex workflows with numerous design choices and variables that must be tuned for optimal performance.

Significant advances in artificial intelligence over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used “off label” and applied in unintended ways, the results are subject to machine learning bias that compromises the integrity of the AI algorithm, according to a new study by researchers at The University of Texas at Austin and the University of California, Berkeley.

WNCG professor Atlas Wang has received several grants for his work on artificial intelligence. 

The National Science Foundation has selected The University of Texas at Austin to lead the NSF AI Institute for Foundations of Machine Learning, bolstering the university’s existing strengths in this emerging field. Machine learning is the technology that drives AI systems, enabling them to acquire knowledge and make predictions in complex environments. This technology has the potential to transform everything from transportation to entertainment to health care.

Texas Wireless Summit (TWS) 2015 explored next generation wireless networks in a day-long event focused on The View to 5G: From Applications to the Air Interface. The 13th annual TWS provided a forum on emerging technology and business models for industry leaders and academics. Hosted by WNCG, TWS offered direct access to cutting-edge research and innovations from industry leaders, investors, academics and startups. Through keynote and panel-driven discussions, leading business and technology executives and top academics shared entrepreneurially-oriented research. WNCG Profs.

Since 2008, mobile traffic across the globe has increased at a rate of roughly 100 percent per year, while the available bandwidth, or spectrum, for data use has remained largely unchanged. During peak hours, wireless networks in major cities often reach a point of failure. With the explosion in online video traffic, which is predicted to occupy 66 percent of mobile traffic by 2017, industry, academia and government are searching for the future of mobile networks. The solution? To push beyond 4G networks and bring 5G to life and to consumers.