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, ...

POLYN Technology, a pioneer in ultra-low-power neuromorphic computing, will present a live NeuroVoice Voice Activity ...

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 ...

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 ...

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 new neuromorphic chip has shown it can perform continuous voice activity detection while using extremely low power, ...

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 ...

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 ...

In a nutshell: The third keynote in the series of Computex CEO speeches was delivered by Arm's Rene Haas, along with Chris Bergey, the SVP and GM of the Client Business at the company. Their keynote ...