Researchers from Microsoft Azure and the University of Texas at Austin found that agentic AI workloads, which involve dynamic multi-step workflows, are poorly served by conventional GPU-centric server…
A study by researchers from Seoul National University, University of California, Berkeley, ICSI, LBNL, and University of Texas at Austin finds that Diffusion Language Models (DLMs) achieve higher arit…
U.S. universities are rapidly expanding AI courses and degree programs beyond computer science as hiring for entry-level software developers slows and computer science enrollment drops 8% this spring,…
College enrollment in computer and information science programs has declined by more than 8% at four-year institutions from spring 2025, according to the National Student Clearinghouse Research Center…
Apptronik's Apollo 2 humanoid robot demonstrated fine-motor tasks and kitchen chores using Google DeepMind's Gemini Robotics 2 vision-language-action model on July 30, with the system achieving a 68.4…
Lizy K. John, a professor of electrical and computer engineering at the University of Texas at Austin, argues that weightless neural networks can be 1,000 times smaller or faster than conventional AI …
Researchers are using AI to analyze conversational dynamics in romantic relationships, detecting subtle patterns like linguistic mirroring and emotional tone that can predict compatibility with accura…
A new paper from researchers at the University of Texas at Austin and Microsoft introduces an execution-free agentic program repair system for enterprise-scale development, achieving a 40% higher fix …
A study by KPMG and the University of Texas at Austin found that early-career professionals who treated AI as a thinking partner, rather than outsourcing work to it, produced stronger results than AI …
A Nature Medicine study published June 12, 2026, found that general-purpose frontier chatbots—OpenAI's GPT-5.2, Google's Gemini 3.1 Pro, and Anthropic's Claude Opus 4.6—outperformed specialist clinica…
Researchers at the University of Texas at Austin introduced VSeek, a framework that uses reinforcement learning to transform long-video question answering into an interactive retrieval process, improv…
Google DeepMind announced on July 6 that real-world data from Apptronik's Apollo 2 humanoid robots will train its Gemini Robotics AI models. Apptronik's new 90,000-square-foot Robot Park in Austin col…
The Conference on Robot Learning (CoRL) 2026 will be held in Austin, Texas, from November 9 to 12, chaired by Yuke Zhu and Peter Stone. The event will focus on robot foundation models, real-robot rein…
Apptronik unveiled Apollo 2, an updated humanoid robot available in bipedal and wheeled-base configurations, and opened Robot Park, a flagship data collection and training facility in Austin, Texas. T…
Apptronik opened a 90,000-square-foot facility in Austin called Robot Park to collect teleoperation data from its Apollo 2 humanoid robots for Google DeepMind's Gemini Robotics AI models. The company …
A team of engineers at the University of Texas at Austin, led by Guihua Yu, has created a jacket capable of extracting drinking water from the air, the university announced June 11. The fabric, detail…
A recent study in *The Journal of Sex Research* found that exposure to purity culture, a set of strict sexual ethics within Evangelical Christianity, is linked to higher levels of sexual shame, partic…
During a 1991 confirmation hearing, Justice Clarence Thomas compared taking the bench to a runner stripping down to eliminate personal agendas and ideologies. However, decades later, Thomas has become…
Researchers at the University of Texas at Austin have developed a graphene "tattoo" sensor that sticks directly onto plant leaves to provide real-time hydration readings. The sensor, which functions a…