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 ...

Trump told Palm Beach police chief 'everyone' knew about Epstein, Maxwell was 'evil' A restored radio from 1937 might have ...

Trump told Palm Beach police chief 'everyone' knew about Epstein, Maxwell was 'evil' A restored radio from 1937 might have finally located Amelia Earhart’s lost plane What Donald Trump said about Bad ...

The race is on to develop an artificial intelligence that can do pure mathematics, and top mathematicians just threw down the ...

Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...

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.

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

Four simple strategies—beginning with an image, previewing vocabulary, omitting the numbers, and offering number sets—can have a big impact on learning.