News

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 2019: Connectivity and Sensing at the Human-Machine Frontier will take place on November 12, 2019 at The University of Texas at Austin. Registration for the Summit is only days away from opening on August 12.

TWS 2019 co-organizers Edison Thomaz and Nanshu Lu have announced the theme of this year’s Summit: Connectivity and Sensing at the Human-Machine Frontier. The event will highlight advances and opportunities at the intersection of human-centered computing, sensing and connectivity. Sessions and panels will focus on wearables, virtual and mixed reality, bio-interfaces, and perception. We will explore the challenges and demands of the communication infrastructure required to support and enhance devices and experiences. WNCG will host the event on November 12, 2019.

WNCG will host the 17th Texas Wireless Summit (TWS) on November 12, 2019.  Planning for TWS has just begun, but you can expect an exciting list of high-profile industry and academia speakers, as in previous Summits. Past events have typically been attended by more than 350 leading members of industry and academia each year.