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 ...

Artificial Analysis, the independent AI benchmark organisation, ranks HyperNova 60B as the lowest-parameter model in the ...

Quantum computing, once only a theoretical possibility, promises to deliver faster, more energy-efficient computers—but only ...

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 ...

TSMC Senior VP Kevin Zhang says energy efficiency, not raw computing power, is reshaping AI chip design and your portfolio.

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 ...

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 ...

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

Approximate computing encompasses a suite of design methodologies that deliberately introduce controlled inaccuracy into digital circuits and algorithms to achieve substantial reductions in power ...