As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Through his Google fellowship, Stoica seeks to apply model merging to create a cutting-edge vision encoder. A vision encoder ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

At a hackathon over the weekend, students worked with real brain data to create new tools for brain-machine systems.

The University of Texas at Austin was the top recipient of National Science Foundation grants in fiscal year 2024 – a sign of UT's leadership in AI & computing.

Automatic, robotic systems that operate in our physical environment, also known as embodied AI systems, are continually ...

Remote work continues to open doors nationwide. These 10 high-paying work-from-home jobs start at $65 an hour, combined with savings from skipping commutes.

Computer science students from three Universities of Wisconsin campuses leveraged their knowledge of machine learning to address real-world questions for one of the state’s largest credit unions in a ...

Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...

Texas A&M ecoinformatics enables students to explore science in nature with real-world data, field research and ...

We’re honored to welcome Tom and Ram to our advisory board. Their combined insights, from standards in verification and ...

Now they’re being clogged with AI slop. Scientific publishing has always had its plumbing problems. Even before ChatGPT, ...