in Papers of Interest: Format: Journal Abstract Title: “Solving mazes with memristors: a massively-parallel approach” Authors: Yuriy V. Pershin (Department of Physics and Astronomy, USC Nanocenter, University of South Carolina) and Massimiliano Di Ventra (Department of Physics, University of California San Diego) Source: Physical Review E, Vol. 84, Issue 4 (2011) Publication Date: 14 October […]
New research into the “memristor brain” (via the cat brain), (another name for modeling machine learning and pattern recognition on neuronal synapse architectures), will appear in this months NL journal (Journal of Nano Letters). University of Michigan researcher Wei Lu (giving an upcoming talk titled “Si Memristive Devices Applied to Memory and Neuromorphic Circuits” at […]
Emerging technology provides a unique opportunity to introduce science within education. The development of Memristors, the fourth passive component type after resistors, capacitors and inductors, along with other Solid State memory devices, takes us one step further to creating cheap, powerful, distributed solutions for sensing and processing.
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