Machine Learning in Mechanical Lattices

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mechanical neural network

Phys Org

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Not so simple machines: Cracking the code for materials that can learn

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Physicists at the University of Michigan have created a mathematical framework for how learning works in lattices called mechanical neural networks.

The researchers have shown how that algorithm can be used to "train" materials to solve problems, such as identifying different species of iris plants.

One day , these materials could create structures capable of solving even more advanced problems.

U-M researchers used a simple algorithm and a simple experimental setup to create the lattice that gives that solution.

They also provided large datasets of input forces, akin to what's done in machine learning on computers.

Li is already working to build up the complexity of the system and the problems it can solve using MNNs that carry sound waves.

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