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"Hinton proposes the FF algorithm as an alternative to backpropagation for neural network learning."
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The Future of Artificial Intelligence
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At NeurIPS 2022, I had the pleasure of hearing Geoffrey Hinton present his new way for DNN to learn the "forward forward" algorithm. Preliminary work shows good performance on classical benchmarks such as MNIST with less computations and more similarities with our human brain.
Who knows maybe one day similar algorithms will replace good old back propagation?
Full paper, accessible here if you're curious. Hinton also promised to release his code soon so the community can play with it :)