A novel device consisting of metal, dielectric, and metal layers remembers the history of electrical signals sent through it.

To make sense of the world, most humans rely in great part on their vision. Recent research suggests that the human visual ...

Researchers are developing atomically precise memristors for advanced neuromorphic computing systems. The University of Kansas and University of Houston, backed by $1.8 million from the National ...

State Key Laboratory of Superhard Materials, College of Physics, Jilin University, Changchun 130012, People’s Republic of China ...

Abstract: Most memristor-based Pavlovian associative memory neural networks explore the impact of relearning and forgetting on associative memory rates. In this paper, a memristor-based neural network ...

TDK develops a spin-memristor for neuromorphic applications, potentially lowering the power use of AI processors to 1/100 of traditional devices. There is a disparity between the level of power ...

Researchers from Queen Mary University of London and Paragraf Limited have demonstrated a significant step forward in the ...

In a breakthrough, a research team from South Korea, led by Professor Sungjun Kim from the Division of Electronics and Electrical Engineering at Dongguk University, has developed a self-compliant (SC) ...

Space is a challenging environment for semiconductors, but researchers have shown that a specific type of memristor (the hafnium oxide memristor, to be exact) actually reacts quite usefully when ...

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