AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...

Study shows dreams really do solve problems. Scientists doubled problem-solving success by playing sounds during sleep to ...

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Productivity Experts Argue Momentum Is More Critical Than Time, Offering a Framework to Move from ‘Foot-Dragging’ to Decisive Action In a culture marked by analysis paralysis, many individuals mistake ...

For elementary students, math problem-solving often feels like a puzzle without all the pieces. They know there’s a solution somewhere, but they can’t quite see how it all fits together. Behind every ...

Gates revealed his problem-solving technique in a blog post titled “The Buzz Stops Here” in 2020. He said that he has been using the same method since his teenage years, and it has helped him tackle ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...