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 ...
Intrinsically stretchable electronics can be used to make wearable devices that collect large amounts of multimodal sensory data. This has led to a demand for enhanced near-sensor computing ...
Neuromorphic devices represent a transformative frontier in electronics, inspired by the architecture and functionality of biological neural systems. By emulating the brain’s ability to process ...
A Korean research team has succeeded in securing a basic technology for further improving the completeness level of neuromorphic devices. Their paper is published in the journal Nature Communications.
(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 ...
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 ...
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 ...
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AI under your skin: Scientists create stretchable brain-like electronics that learn and adapt
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