Researchers at Finland's Aalto University and the Finnish Center for Artificial Intelligence have manipulated silver atoms into a lattice configuration via deep reinforcement learning, a critical advance for nanodevice construction.
The approach rewards the algorithm for correct guidance and outputs.
It took the algorithm on the order of one day to learn and then about one hour to build the lattice," said Aalto's I-Ju Chen.
She also said such atomic guidance can be used for testing how and whether nanodevices operate at their absolute limit, as well as for exposing properties related to superconductivity or quantum states.
From Aalto University (Finland)
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