Quanta Magazine
•78% Informative
Max Tegmark , a physicist at the Massachusetts Institute of Technology , believes that his physicist peers can make significant contributions to the science of AI .
One way physicists could help advance AI technology, he said, would be to replace the “black box” algorithms of neural networks with well-understood equations of physical processes.
When D is low, for example, the model is more robust, meaning it is tolerant of errors made in estimating the electric field.
At the other extreme, when D is high, the neural network becomes easier to train, requiring less data to master its skills.
Another goal for the MIT researchers involves finding more physical processes that can provide the basis for new families of generative models.
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