Georgia Tech researchers applied their expertise to a national research program that will shape the future of computing.

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

The AI boom is driving an explosive surge in computational demands and reshaping the landscape of technology, infrastructure, and innovation. One of the biggest barriers to widespread AI deployment ...

As artificial intelligence (AI) proliferates rapidly, AI models and datasets are also growing rapidly in size. This growth far outpaces performance improvement in hardware systems, and is increasing ...

Advancements in single board computers (SBCs) have enabled a paradigm shift towards energy-efficient computing, particularly in the realms of edge and cluster-based computation. Modern SBCs offer a ...

The escalating global demand for computation, juxtaposed with the imperative to reduce environmental impact and operating costs, has rendered energy‐efficient computing a central focus within modern ...

Physicists are developing an innovative approach that will significantly improve the energy efficiency of computers. They take their inspiration from the human brain. (Nanowerk News) The rapid ...

The growth of energy efficiency in traditional computer chips is slowing due to physical limitations, coinciding with a rapid increase in energy demands from the tech sector, especially artificial ...

The world is abuzz with the new opportunities being created by artificial intelligence (AI), enabled by the availability of unprecedented amounts of data. AI runs on the semiconductor engine, and in ...