A research team led by Prof. Seunguk Song from the Department of Energy Science at Sungkyunkwan University (SKKU), in ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...

The research team led by Researcher Tianyu Wang from the School of Integrated Circuits at Shandong University has systematically reviewed the latest advances in emerging memristors for in-memory ...

Kawasaki and Yamaguchi, Japan, Nov 27, 2025 - (JCN Newswire) - - Fujitsu Limited and Yamaguchi University today announced the successful development of a low-power edge computing technology that ...

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 ...

DUBLIN--(BUSINESS WIRE)--The "The Global Market for Low Power/High Efficiency AI Semiconductors 2026-2036" has been added to ResearchAndMarkets.com's offering. The market for low power/high efficiency ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

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 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 ...

A research team led by Prof. Seunguk Song from the Department of Energy Science at Sungkyunkwan University (SKKU), in collaboration with the Institute for Basic Science (IBS), the University of ...