In 2020, the team solved this by using liquid neural networks with 19 nodes, so 19 neurons plus a small perception module could drive a car. A differential equation describes each node of that system.

The principal usage of a differential analyzer is shown here in a You Tube video. Two integrators are connected to each other to perform the differential equation ydotdot = – y. One solution is y = ...

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