Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. In a new paper, the researchers have demonstrated a method much simpler than previous approaches.
Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for the Science of Light have published their new method inMachine learning and artificial intelligence are becoming increasingly widespread with applications ranging from computer vision to text generation, as demonstrated by ChatGPT.
Both challenges can be overcome with the new method proposed by Clara Wanjura and Florian Marquardt from the Max Planck Institute for the Science of Light in their new article in Nature Physics."Normally, the data input is imprinted on the light field. However, in our new methods we propose to imprint the input by changing the light transmission," explains Florian Marquardt, Director at the Institute. In this way, the input signal can be processed in an arbitrary fashion.
A research team has developed an optical computing system for AI and machine learning that not only mitigates the noise inherent to optical computing but actually uses some of it as input to help ...
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