Sample-efficient active learning for materials informatics using integrated posterior variance

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Anthropic was the first tech company approved to work in the Pentagon's classified military networks and has partnerships with companies including Palantir.

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We leveraged this same approach here using the same OpenAPI JSON to generate boilerplate C# code for registering and wiring up all endpoints within the serverless codebase. Interfaces are generated for each controller with a function for each action. Functions only need to be implemented as necessary for the systems that are required in the offline game.

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