The Texas Advanced Computing Center (TACC) has published a special report on artificial intelligence. The report, prepared by TACC science and technology writer Aaron Dubrow, highlights a number of examples of how HPC is helping to improve the state-of-the-art in the field and how AI is applied to problems in biology, medicine, weather modeling and traffic.

The examples in the report include:

• An Overview of AI at TACC: Enabling New Horizons in Research. From health and safety to meteorology and cybersecurity, TACC supercomputers are helping researchers apply machine learning and deep learning to basic and applied science.
• Talking Parallel AI with Zhao Zhang. One of TACC’s foremost experts in the application of advanced computing to machine and deep learning discusses current and emerging resources at the center.
• Supercomputing Speeds Up Deep Learning Training. New algorithm enables researchers to efficiently use Stampede2 to train ImageNet in 11 minutes, faster than ever before.
• Artificial Intelligence and Supercomputers to Help Alleviate Urban Traffic Problems. Researchers from UT, TACC and City of Austin develop AI tools to automatically analyze road behavior and create searchable databases.
• Predicting Severe Hail Storms. NSF-supported research at the University of Oklahoma uses supercomputers and simulations to improve storm forecasts.
• Zika Hackathon Fights Disease with Big Data. Wrangler data intensive supercomputer at TACC provided cluster space for Austin Zika Hackathon.
• Scientists Enlist Supercomputers, Machine Learning to Automatically Identify Brain Tumors. Team led by University of Texas at Austin researchers shines in Multimodal Brain Tumor Segmentation Challenge.
• The Future of Search Engines. Researchers combine artificial intelligence, crowdsourcing and supercomputers to develop better, and more reasoned, information extraction and classification methods.
• A Dance with Algorithms. XSEDE resources help researchers create human-like movement.
• Nomadic Computing Speeds Up Big Data Analytics. UT Austin researcher designs novel way to analyze bigger datasets using TACC systems and machine learning algorithms.
• Psychologists Enlist Machine Learning to Help Diagnose Depression. University of Texas researchers use Stampede supercomputer to identify patterns in neuroimaging data that are predictive for mental disorders.
• Machine Learning Lets Scientists Reverse-Engineer Cellular Control Networks. Stampede supercomputer helps researchers from Tufts, University of Maryland, Baltimore County create tadpoles with pigmentation never before seen in nature.

View the report here.

TACC has also released an accompanying video: