Inside the $12M AI Project That Will Redefine Computing: University of Texas to Revamp Operating Systems to Do More with Less Energy

Imagine operating systems with much less energy usage…Thanks to AI! This is now being explored at the University of Texas, led by Aditya Akella.

AI Revamps Operating Systems

The University of Texas at Austin, led by Aditya Akella, is spearheading a groundbreaking project funded by the U.S. National Science Foundation’s Expeditions in Computing program. The initiative aims to use artificial intelligence to enhance the performance and energy efficiency of computer operating systems. Current OSes, which follow inflexible resource allocation rules, hinder advancements in hardware and applications like personal assistant robots and autonomous vehicles. This project will leverage AI for intelligent resource management, enabling near-optimal efficiency and automated OS implementation.

Collaborative Efforts and Industry Partnerships

This ambitious project unites computer scientists from several top universities and industry giants like Amazon, Google, and Microsoft. Together, they aim to develop the next-generation open-source intelligent and adaptive OS. Akella envisions this new OS framework enabling a revolution akin to the smartphone boom of the 2010s, potentially making autonomous robots as ubiquitous and transformative as smartphones. The project’s holistic approach includes creating new educational curricula to foster leadership among underrepresented groups in AI and computer systems.

Educational and Research Synergies

The project is closely integrated with UT’s Machine Learning Laboratory and Center for Generative AI, exploring new AI techniques and providing high-end GPU resources for research. With a $12 million grant over five years, this initiative is set to profoundly impact the future of computing infrastructure and education, preparing a new generation of leaders in AI and computer systems technology.

(Visit University of Texas for the full story)

*An AI tool was used to add an extra layer to the editing process for this story.