Recently, researchers have been able to develop a new type of analog computing system based on deep neural networks. This system, known as the Quadrant Analog, uses neuromorphic hardware to perform computations, such as solving problems involving machine learning and artificial intelligence. The Quadrant Analog is composed of four interlinked processing elements, each with its own neural network, allowing them to interact with each other in real-time. This new type of analog computing system is capable of performing complex tasks quickly and efficiently, making it a potentially powerful tool for AI and machine learning applications.

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source: Phys.org