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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Harnessing electromagnetic waves and quantum materials to improve wireless communication technologies

A team of researchers has developed innovative methods to enhance frequency conversion of terahertz (THz) waves in graphene-based structures...