Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do—take a few quick glimpses around and infer its whole environment. Jenna Luecke/University of Texas at Austin.
TXCS wants students to consider the ways in which the laws are evolving to adapt to massive tech growth as well as examine the further ethical implications of their work.
Photo Credit: Lauren Ibanez | Daily Texan Staff
Researchers in MIT’s Open Agriculture Initiative grow basil under controlled environmental conditions to study how taste and other features are affected.
Credit: Melanie Gonick
Professors Philipp Krähenbühl (Left), Qiang Liu (middle), and Chris Rossbach (Right)
Alex Huth (left), assistant professor of Neuroscience and Computer Science at the University of Texas at Austin. Shailee Jain (right), a Computer Science PhD student at the Huth Lab.
A merged multi-scale structurally valid visualization of the ribosome; the green volume occupying model and the tertiary and secondary structural model is obtained from reconstructed single particle cryo-electron microscopy, while the atomic-resolution structures is from X-ray crystallography resolved models.
The UT Programming Club won the ICPC South Central USA Regional Competition at Baylor University in Waco, Texas.