Geometric deep learning reveals the spatiotemporal features of microscopic motion - Nature Machine Intelligence

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Geometric deep learning reveals the spatiotemporal features of microscopic motion - Nature Machine Intelligence
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AI analyzes cellmovement under the microscope NatMachIntell

. The training time of MAGIK ranges between 1 min and 5 min for trajectory linking and from 30 min to 60 min in the case of node and global-level regression on an NVIDIA A100 GPU .

The capability of training using a minimal amount of annotated data without requiring prior knowledge of the underlying dynamics enables the application of MAGIK to a wide range of real data for which large labelled datasets are not available.

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