Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is ...

Imitation from observation (IfO) is the problem of learning directly from state-only demonstrations without having access to the demonstrator's actions.The lack of action information both ...

Visualization is the communication of information using graphical representations. A picture is worth a thousand words because a picture can be processed in parallel by the brain whereas words have to ...

Raw Data: Preprocess and transform raw data into something usable - data wrangling or data cleaning. Mapping Data for Visualization: map the clean data onto a specific visual representation. Rendering ...

Data Visualization starts with raw data that has to be preprocessed before it can be rendered. Data can be of many forms. It can be gathered from one or many sources. It could real or synthetic ...

Our students and faculty are changing the world through their contributions to computing education, research, and industry. These awards received by members of the UT Computer Science community make ...

VISOR is a large connectionist system that shows how visual schemas can be learned, represented, and used through mechanisms natural to neural networks. Processing in VISOR is based on cooperation, ...

- C. Aggarwal (2018). Neural Networks and Deep Learning. New York: Springer. (required). - Various research papers (some required, some optional). The textbook will be available electronically through ...