Study: an overlooked weakness in a powerful machine learning tool
In the last two decades, researchers have reported success modeling high-dimensional chaotic behaviors with a simple but powerful machine-learning approach called reservoir computing. A new paper in Physical Review Research identifies limitations to reservoir computing and suggests a kind of catch-22 that can prove hard to circumvent, especially for complicated dynamic systems.