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Research

These Mathematical Techniques Could Help Design Shape-shifting Materials

A snapdragon flower petal grown from a cylinder. In each state, the colors show the growth factors of the top (left) and bottom (right) layer, and the thin black lines indicate the direction of growth. The top layer is viewed from the front, and the bottom layer is viewed from the back, to highlight the complexity of the geometries. (Credit Harvard SEAS)

05/08/2018 - UT College of Natural Sciences News | October 16, 2017 Nature has a way of making complex shapes from a set of simple growth rules. The curve of a petal, the swoop of a branch, even the contours of our face are shaped by these processes. What if we could unlock those rules and reverse engineer nature's ability to grow an infinitely diverse array of shapes?

What happens when AI meets robotics?

04/10/2018 - By Pallab Ghosh, BBC News Researchers in Texas are developing robots that have minds of their own. The scientists are creating systems that can learn for themselves and be able to operate in the home, the workplace and even on the sports field.

Ashlie Martinez Earns Outstanding Undergraduate Researcher Award

Ashlie Martinez

12/19/2017 - Undergraduate student Ashlie Martinez has been selected as an awardee of the 2018 Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award. Ashlie is a senior in the Turing Scholars Honors program in UT Computer Science.