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They demonstrated a fully integrated photonic processor that can perform all the key computations of a deep neural network optically on the chip.

Now a research team from Chalmers University of Technology, in Sweden, has created a unique system that combats the dilemma, thus paving the way for longer computation time and more robust quantum computers.

The Princeton-led team's machine learning approach slashes the computation time from tens of seconds to the millisecond scale, opening the door for real-time optimization.

For now, the GCR system requires a lot of computation resources, so it won't be available on any personal devices just yet.

The study is an example of advancements in neuroscience enabled in the past few decades by technological progress in the design of stable, high-resolution neural probes as well as by machine learning-backed computation power.