“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

The existing U.S. nuclear power fleet could deliver nine reactors' worth of added capacity. EPRI experts explain how—and what ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

Learn a clear, step-by-step approach to solving coding problems—from understanding the prompt and planning an algorithm to ...

The pilot will adhere to the highest safety and security standards for school transport and will comply with Dubai’s ...

Using the online platform "Smart People's Congress", Cao Xinsheng, 52, a deputy to the people's congress of Yuci district in ...

Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

They are effectively wagering that addressing specific optimization challenges today holds more value than the promise of ...

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

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...