Tuesday, 29 November 2022
Breaking the scaling limits of analog computing
A new technique greatly reduces the error in an optical neural network, which uses light to process data instead of electrical signals. With their technique, the larger an optical neural network becomes, the lower the error in its computations. This could enable them to scale these devices up so they would be large enough for commercial uses.
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A miniature swimming robot inspired by marine flatworms
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Interfacing DC motor to the microcontroller is a very important concept in many industrial and robotic applications. By interfacing DC motor...
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