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.

The Cockrell School of Engineering has received $1 million from Qualcomm Incorporated, furthering the company’s support of Texas Engineering over the past two years. This latest gift will provide funding for the construction of the new home of UT Austin’s Wireless Networking and Communications Group (WNCG), which will be housed within the Engineering Education and Research Center (EERC), opening in 2017.

Yesterday, state legislators and University of Texas leadership joined Cockrell School Dean Sharon L. Wood and hundreds of alumni, friends, corporate supporters and members of the Texas Engineering community to celebrate the groundbreaking of the Engineering Education and Research Center (EERC).

On April 16, 2014, representatives from Qualcomm visited the Cockrell School's Wireless Networking and Communications Group, which will have a new home in the Engineering Education and Research Center when it is completed in 2017. The WNCG also received $2 million from Qualcomm to support continuing wireless communications research. Click the image below for a slideshow of the event:

The Cockrell School of Engineering at The University of Texas at Austin has received a $2 million donation from Qualcomm Incorporated to create a new home for UT Austin’s Wireless Networking and Communications Group (WNCG). The new space will be located within the Cockrell School’s Engineering Education and Research Center (EERC), which is slated for completion in 2017.