<p>For research and development (R&#38;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.</p>
<p>The post <a href="https://azure.microsoft.com/en-us/blog/beyond-the-benchmark-how-an-adaptive-approach-drives-scientific-discovery/">Beyond the benchmark: How an adaptive approach drives scientific discovery</a> appeared first on <a href="https://azure.microsoft.com/en-us/blog">Microsoft Azure Blog</a>.</p>