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Researchers from MIT CSAIL predict semantically meaningful and calibrated uncertainty intervals in the latent space of a generative adversarial network to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) found that the Multiple Demand and Language brain systems encode specific code properties and uniquely align with machine-learned representations of code.