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 ...

Welcome, everyone, to my DraftKings PGA DFS lineup picks and advice for the 2026 AT&T Pebble Beach Pro-AM. I'll be providing ...

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

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Math struggles in kids may stem from brains that have a harder time learning from mistakes—not just understanding numbers.

Hyesang Chang and colleagues, from Stanford University, explored why some children struggle to learn math compared to their peers in a new JNeurosci paper. Children selected which numbers were bigger ...

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

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

As agentic AI automates the man-day billing model, the $300 billion outsourcing industry faces a brutal pivot.

In the history of electric vehicles, no model has been more transformative to the entire auto industry than the Tesla (TSLA 2 ...