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 ...

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 ...

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 pursuit of high-performance, energy-efficient artificial intelligence (AI) opens exciting opportunities for emerging semiconductor memories and unconventional architectures. To maximize the ...

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 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 ...

Thermodynamic computing is making waves in the world of artificial intelligence (AI), boasting a staggering 10,000x efficiency gain in AI processing. This innovative approach leverages probabilistic ...

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 ...

Neuromorphic computing -- a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure -- needs to scale up if it is to effectively compete with ...

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 ...