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 ...

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 human brain is the ultimate supercomputer. It uses a highly branched and interconnected network of neurons and synapses ...

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 ...

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 ...

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) ...

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 ...

June 2026 - Bull, a leader in advanced computing and AI, today announced that its systems continue to lead the Green500 ranking of the world's most energy-efficient supercomputers ...