11/10/2020 -Industry analysts say that more data has been collected in the past two years than in all of human history combined. Data about what we buy, what we watch, where we go and who our friends are is constantly being collected and stored. Analyzing all that data and gaining insights from it is the hard part.Read more
08/26/2020 -The National Science Foundation has selected The University of Texas at Austin to lead 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.Read more
07/17/2020 -Imagine that you are a robot in a hospital: composed of bolts and bits, running on code, and surrounded by humans. It’s your first day on the job, and your task is to help your new human teammates—the hospital’s employees—do their job more effectively and efficiently. Mainly, you’re fetching things. You’ve never met the employees before, and don’t know how they handle their tasks. How do you know when to ask for instructions? At what point does asking too many questions become disruptive?Read more
06/18/2019 -Two hundred and forty Texas Computer Science students recently participated in a data mining and analytics competition hosted by SparkCognition, an Austin-based enterprise artificial intelligence company with software solutions that help clients analyze complex data, reveal actionable insights, and identify and automate optimal responses. The company awarded scholarship prizes to the first, second, and third place winners of $10,000, $3,000, and $2,000 respectively. Read more
04/30/2019 -There is a certain “grow fast or die slow” paradigm in the present-day computing industry. Software and technological innovations are in a period of massive growth and flux—change is so rapid that even today’s laws are lagging behind.
Texas Computer Science and Texas Law professors argue that under current circumstances, it is also important to consider the ways in which the legal field is evolving to adapt to these technological changes as well as examine the further ethical implications of computing.Read more