Progress to Large Scale Memristor Neuromorphic Computing

1. A memristor has been proposed as an artificial synapse for emerging neuromorphic computing applications. (Nature Nanotechnology) To train a neural network in memristor arrays, changes in weight values in the form of device conductance should be distinct and uniform. An electrochemical metallization (ECM) memory typically based on silicon (Si), has demonstrated a good analogue …

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New Ultrafast Artificial Intelligence Mimicking Brain Dynamics

Using advanced experiments on neuronal cultures and large scale simulations, a group of scientists at Bar-Ilan University in Israel has demonstrated a new type of ultrafast artifical intelligence algorithms — based on the very slow brain dynamics — which outperform learning rates achieved to date by state-of-the-art learning algorithms. The researchers rebuild the bridge between …

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Memristor memory with 128 states created for next generation computer memory and brainlike chips

Southampton researchers have improved the memristor. how they have pushed the memristor – a simpler and smaller alternative to the transistor, with the capability of altering its resistance and storing multiple memory states – to a new level of performance after experimenting with its component materials. They demonstrated a new memristor technology that can store …

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Subnanometer brain like atomristors operated at 50 gigahertz

Neuromorphic computing researchers have been working on the development of memory resistors, or memristors, which are resistors in a circuit that ‘remember’ their state even if you lose power. Today, most computers use random access memory (RAM), which moves very quickly as a user works but does not retain unsaved data if power is lost. …

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