This review describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...

They may be better known for stir-fries than supercomputing, but shiitake mushrooms have now been harnessed to function as living processors, storing and recalling data like a semiconductor chip but ...

Scientists have discovered that electron spin loss, long considered waste, can instead drive magnetization switching in spintronic devices, boosting efficiency by up to three times. The scalable, ...

A research team has developed a device principle that can utilize "spin loss," which was previously thought of as a simple loss, as a new power source for magnetic control. Subscribe to our newsletter ...

Benjamin Jungfleisch, associate professor of physics at the University of Delaware, uses this model of macroscopic spin-ice with permanent magnets to introduce magnetic interactions and phenomena to ...

A number of advanced energy technologies—including fuel cells, electrolyzers, and an emerging class of low-power ...

South Wales organization is lead partner in Horizon 2020-funded ZeroAMP Project to develop nanoelectromechanical relay-based computers for harsh environments. Microchip Technology Inc. has changed the ...

The staggering computational demands of AI have become impossible to ignore. McKinsey estimates that training an AI model costs $4 million to $200 million per training run. The environmental impact is ...

The SheevaPlug development platform is based on a Marvell Kirkwood processor and 1.2-GHz Sheeva CPU. The Plug Computing kit is equipped with 512 Mbytes of flash and 512 Mbytes of DRAM, and it has a ...