Leon Chua speaks at the LaSalle Research Group in Intelligent Systems, Dec. 12 2008. The audio is a little garbled and the retro-analog style overhead projector, common amongst mathematicians, but its a great prespective on seminal work.
Dating from May 2008, this NPR story was done shortly after the discovery by Stan Williams and HP Labs of a memristive material. From the synopsis: “The possibility of such a circuit element, known as the “memristor,” was first described in 1971, but no one was able to find a device with the properties of […]
Interesting video about Memristors with Stan Williams of HP Research. Starts out with a standard “the benefit to the consumer video recorder is enormous,” [not literal quote!], but luckily moves into a much more interesting point, which Dr. Williams discusses a little more in depth: the benefit of the technology vis a vis embedded cell […]
The Memristive switch: “The team conducted its experiments by building a nanoscale memristor switch – at 50 nanometers by 50 nanometers, it is the world’s smallest – that contained a layer of titanium dioxide (a chemical commonly used in both sunscreen and white paint) between two nanowires. As its name implies, titanium dioxide typically comprises […]
What is a memristor? Memristors are basically a fourth class of electrical circuit, joining the resistor, the capacitor, and the inductor, that exhibit their unique properties primarily at the nanoscale. Theoretically, Memristors, a concatenation of “memory resistors”, are a type of passive circuit elements that maintain a relationship between the time integrals of current and […]
The memristor abstract can be found [ here ]. HP Labs has finally created a working model of a Memristor. Kudos! Now full fledged research into the AI Memristor Brain can begin.
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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