University of Michigan researchers showed how mechanical neural networks—the black lattices of triangles—could be trained to solve problems. Disclaimer: AAAS and EurekAlert! are not ...

The innovative project involved running a neural network directly on a TI-84 Plus CE to recognize handwritten digits. By using the MNIST dataset, a well-known collection of handwritten numbers ...

The researchers showed the gradient could be found experimentally using a 3D-printed model of a mechanical neural network.

The U-M team of Shuaifeng Li and Xiaoming Mao devised an algorithm that provides a mathematical framework for how learning works in lattices called mechanical neural networks. "We're seeing that ...