Beyond the benchmark: How an adaptive approach drives scientific discovery

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For research and development (R&D) organizations, the promise of agentic AI is not a better one-time answer. It is a new way to explore complex scientific and engineering problems: pursuing multiple hypotheses, validating them against evidence, learning from what does not work, and adapting their approach as new information becomes available. The post Beyond the benchmark: How an adaptive approach drives scientific discovery appeared first on Microsoft Azure Blog.