Researchers design a new hardware-based artificial neural network capable of learning and process sensory data as the human brain does

Researchers design a new hardware-based artificial neural network capable of learning and process sensory data as the human brain does

The electronic circuits of the future will be able to self-organize in order to classify the information as the human brain does. They are neuromorphic electronic systems, so called because they emulate the architecture and behavior of the human brain. Now, researchers of neuromimeTICs group ave proposed a new artificial neural network of this type based on hardware, with physical components such as the memristors, capable of emulating the way that the brain processes sensory stimuli.

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Professor Jordi Suñé, guest editor of a special issue of ‘Materials’ dedicated to memristors for applications in AI and neuromorphic circuits

Professor Jordi Suñé, guest editor of a special issue of ‘Materials’ dedicated to memristors for applications in AI and neuromorphic circuits

The applications of artificial intelligence and neuromorphic circuits built from memristors and CMOS circuits will be the focus of the next Special Issue of Materials, which will include articles about the state-of- the-art of deep learning and hardware-based neuromorphic systems without neglecting the ethical aspects that surround the unstoppable advance of the AI.

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