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Toward a Turing Machine? Microsoft & Harvard Propose Neural Networks That Discover Learning Algorithms Themselves
Sept. 12, 2022, 3:51 p.m. | Synced
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A research team from Microsoft and Harvard University demonstrates that neural networks can discover succinct learning algorithms on their own in polynomial time and presents an architecture that combines recurrent weight-sharing between layers and convolutional weight-sharing to reduce parameter size from even trillions of nodes down to a constant.
The post Toward a Turing Machine? Microsoft & Harvard Propose Neural Networks That Discover Learning Algorithms Themselves first appeared on Synced.
ai algorithms artificial intelligence deep-neural-networks harvard machine machine learning machine learning & data science microsoft ml networks neural networks research technology turing turing machines
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