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

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

Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...

Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

The GSMM Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development. The GSMM Camp is designed to promote a broad ...

Google LLC’s DeepMind artificial intelligence research unit claims to have cracked an unsolvable math problem using a large language model-based chatbot equipped with a fact-checker to filter out ...

Researchers have introduced Light-R1-32B, a new open-source AI model optimized to solve advanced math problems. It is now available on Hugging Face under a permissive Apache 2.0 license — free for ...

Mathematical language processing and problem solving represent a confluence of artificial intelligence, natural language processing and symbolic reasoning, aiming to bridge the gap between human ...

For more than five decades, Richard Larson, PhD, has shaped the field of operations research with a deep commitment to solving real-world problems. Since 1969, he has worked as a professor at the ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...