A technical paper titled “ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation” was published by researchers at Eindhoven University of Technology, University of Tehran, and USC.

BEIJING, June 8, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it is ...

GRENOBLE, France – Dec. 7, 2023 – A team comprising CEA-Leti, CEA-List and two CNRS laboratories has published a paper in Nature Communications presenting what the authors said is the first complete ...

Peking University, October 14, 2024: Fundamental to the development of artificial intelligence (AI), associative memory models of neural networks are designed to store and quickly retrieve information ...

A new technical paper titled “Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks” was published by researchers at Université Grenoble Alpes, CEA, ...

Memristors consume extremely little power and behave similarly to brain cells. Researchers have now introduced novel memristive that offer significant advantages: they are more robust, function across ...

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 cross-institutional team led by researchers from the Department of Electrical and Electronic Engineering (EEE), under the Faculty of Engineering at The University of Hong Kong (HKU), have achieved a ...

Memory resistors, or memristors for short, are a unique form of circuitry that resemble the neural pathways of the human brain and improve as additional current that passes through them, much like the ...

Artificial neural networks may soon be able to process time-dependent information, such as audio and video data, more efficiently. Artificial neural networks may soon be able to process time-dependent ...