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 ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

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 ...

What if the key to unlocking artificial general intelligence (AGI) lies not in brute computational power but in something as unassuming as thermal noise? Imagine a world where AI systems capable of ...

Spintronic memory architectures exploit the intrinsic spin of electrons, alongside their charge, to store and process information in magnetic materials. By integrating magnetic tunnel junctions (MTJs) ...

The growing popularity of electronic devices—from fitness trackers and laptops to smartphones—is driving demand for more energy-efficient computing chips. Now, researchers have found a way to change ...

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 US Department of Energy (DOE) is funding research at the University of Arkansas exploring more efficient computing. Charles Paillard, research professor of physics and director of the Smart ...

After posting record earnings on Thursday, D-Wave Quantum Inc.’s (NYSE:QBTS) management highlighted its progress in enabling energy-efficient measures to enhance blockchain hashing using quantum ...