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

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 ...

AI data centers are power-hungry. Not only do artificial intelligence computations consume enormous amounts of electricity, but a significant amount of energy is also required to cool the ...

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 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 ...

Recent significant developments include bigger qubit systems and improvements in error correction. By improving algorithms ...

Researchers have managed to generate propagating spin waves at the nanoscale and discovered a novel pathway to modulate and amplify them. Their discovery could pave the way for the development of ...

“Brain-like energy-efficient computing has remained elusive for neuromorphic (NM) circuits and hardware platform implementations despite decades of research. In this work we reveal the opportunity to ...

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 ...

Scientists have created a tiny chip that can generate, steer, and read light-based information all in one device, marking a major leap toward ultra-fast, energy-efficient computing. The breakthrough ...

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 ...