“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 ...
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
The Covid-19 pandemic has triggered a wave of severe economic disruption around the world, causing widespread chaos, profound changes in the business landscape and overwhelming operational challenges.
Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...
Alan Veliz-Cuba has received funding from the Simons Foundation and the American Mathematical Society for some of his research. You can probably think of a time when you’ve used math to solve an ...
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 ...
Mathematical modelling and optimisation in packing problems constitute a critical research area that combines advanced algorithms, rigorous analytical formulations, and practical applications. This ...
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Current AI models struggle to solve research-level math problems, with the most advanced AI systems we have today solving just 2% of the hundreds of challenges faced. When you purchase through links ...
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 ...
You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...