A research team led by Prof. Long Shibing from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) has, for the first time, made spintronic neuromorphic ...

Like so much else in nature, the human visual system has both a complex structure and functional efficiency that is difficult ...

Researchers at the University of Chicago have developed a stretchable computing patch that can ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

(Nanowerk Spotlight) Paper-based electronic devices have long been an intriguing prospect for researchers, offering potential advantages in sustainability, cost-effectiveness, and flexibility. However ...

In a new study, researchers have developed a neuromorphic device that is extremely thin while having the capability to replicate the capabilities of the human eyes and retain memories. This ...

A new neuromorphic element called a “spin-memristor” mimics the energy-efficient operation of the human brain to reduce the power consumption of artificial intelligence (AI) applications to 1/100th of ...

This review first revisits the theoretical background and developmental history of neuromorphic computing. It then briefly introduces the working mechanisms of memristive devices and how they can ...

(Nanowerk Spotlight) Efforts to design computing systems that operate more like the brain have pushed engineers to rethink how information is processed, transmitted, and stored. Biological neurons are ...

A technical paper titled “Charge-Mediated Copper-Iodide-Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy” was published by researchers at University of Glasgow, City University of ...