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, ...

A recent study published in npj 2D Materials and Applications explores hexagonal boron nitride (h-BN) atomristors, highlighting their notable memory window, low leakage current, and minimal power ...

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

In a recent article published in Nature Communications, researchers from China presented a significant advancement in neuromorphic computing through the development of ultra-low-power carbon ...

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

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 ...

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 ...

At Computex in Taipei, Lokwon Kim, founder and CEO of the Korean semiconductor company DEEPX, shed light on his company's robust capabilities in designing high-performance AI chips that prioritize ...