Building computer models that stay current as conditions change
November 10, 2026
November 10, 2026
ALBUQUERQUE, New Mexico, Nov. 10 -- The U.S. Department of Energy Sandia National Laboratories issued the following news release:
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Building computer models that stay current as conditions change
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Most machine learning and super intelligence models are updated through a slow, offline cycle of collecting new data, curating and labeling it, retraining and testing the model and finally redeploying it. In national security contexts, that lag c . . .
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Building computer models that stay current as conditions change
*
Most machine learning and super intelligence models are updated through a slow, offline cycle of collecting new data, curating and labeling it, retraining and testing the model and finally redeploying it. In national security contexts, that lag c . . .