As artificial intelligence grows more powerful and widespread, the infrastructure that supports it is struggling to keep up. At UT Austin’s Computer Science, researchers at the InfraAI Center are ...

Java has endured radical transformations in the technology landscape and many threats to its prominence. What makes this technology so great, and what does the future hold for Java?

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

The foundation of widening participation lies in a curriculum that is flexible enough to accommodate increasing student diversity while aligning with industry needs, writes James Williams If we are ...

During World War II, Nazi Germany relied on a powerful encryption device known as the Enigma machine. This complex electromechanical machine scrambled messages using a system of rotating rotors and ...

Abstract: This paper provides a comprehensive review of recent advances in machine learning (ML) technologies applied to code generation, with a focus on literature published between 2022 and 2024. We ...

We live in an ever-evolving world, powered by advancements across STEM fields. Today, STEM has become increasingly intertwined with how we live our daily lives–from how we learn, to how we work, to ...

Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...