The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their applications in improving industrial efficiency and flexibility. It also ...

After decades of teaching and research at leading global institutions such as Harvard University and the Massachusetts ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

AI has evolved significantly, shifting from narrow, task-specific automation to advanced Cognitive Intelligence Platforms ...

In A Nutshell Alpha brain waves cycling at 8-13 times per second determine how wide your “temporal binding window,” or the ...

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI ...