04/21/2023 - UT Computer Science Ph.D. Garrett Bingham’s research under Professor Risto Miikkulainen in smart automated machine learning has made significant steps toward more efficient neural network systems.
05/24/2022 - As chips become larger and more complex, their routing algorithms must also be improved and optimized to face the challenge. Recent UT Computer Science PhD graduate Michael Jiayuan He’s research in computer chip design has made a notable step forward towards more efficient and successful chip design in the academic arena.
02/10/2022 - In his recent paper, “Faster Coherent Quantum Algorithms for Faster Phase, Energy, and Amplitude Estimation”, UTCS PhD graduate Patrick Rall puts forth novel quantum algorithms for estimating important fundamental qualities of our complex world. Patrick’s approach simplifies the necessary computations compared to the current standard method. Estimation of these properties has applications in condensed matter physics and quantum chemistry as well as machine learning and finance.
10/14/2020 - Evolutionary biologists never have enough time. Some of the most mysterious behaviors in the animal kingdom—like parenting—evolved over thousands of years, if not longer. Human lifespans are just too short to sit and observe such complex behaviors evolve. But computer scientists are beginning to offer clues by using artificial intelligence to simulate the life and death of thousands of generations of animals in a matter of hours or days. It's called computational evolution.
10/06/2020 - A group of Texas Computer Science (TXCS) researchers from the Autonomous Mobile Robotics Laboratory (AMRL) comprising Joydeep Biswas, Sadegh Rabiee, Jarrett Holtz, Kavan Sikand, Max Svetlik, and John Bachman (UMass Amherst) have reached an incredible milestone in their research: deploying an autonomous robot that autonomously navigates on the campus-scale, resilient to everyday changes and varying conditions.
08/31/2020 - A team comprising Texas Computer Science (TXCS) Ph.D. student Santhosh Ramakrishnan, postdoctoral researcher Ziad Al-Halah, and TXCS Professor Kristen Grauman recently won first place in the 2020 Habitat visual navigation challenge held at the Conference on Computer Vision and Pattern Recognition (CVPR).
08/24/2020 - As students, faculty, and staff prepare to return to campus for the fall semester, a key concern is making the university as safe as possible and properly tracking health data to prevent outbreaks. An interdisciplinary team of researchers and students, including Texas Computer Science (TXCS) undergraduate students Rohit Neppali, Anshul Modh, Viren Velacheri, and Ph.D. student Anibal Heinsfeld, developed the Protect Texas Together app to help track and mitigate the spread of COVID-19 on the Forty Acres.
07/28/2020 - Texas Computer Science (TXCS) is proud to announce that two research teams have received awards at preeminent evolutionary computation conferences.
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?
05/28/2020 - Artificial Intelligence (AI) is a rapidly evolving field, with advancements occurring every day. While the idea of an artificial intelligence system may conjure images of an autonomous machine that rattles out facts like a hi-tech encyclopedia, complex AI exists only because a countless number of talented individuals dedicate their time toward refining these systems.