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.

When that break occurs, the mathematics behind the code moves instantly. Organizations, however, do not move so fast.

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 ...

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

Discover how math literacy impacts democracy in the documentary "Counted Out." Join Ripon College for a free screening and discussion on Feb. 10.

Amid the significant progress in quantum computing, this technology is a big threat to blockchains and they are preparing for ...

Two former engineering students are in Italy supporting former Olympians Tara Lipinski and Johnny Weir as they call the ...

Experts disagree on timing, but carriers and customers should expect quantum technology capable of breaking today’s ...

Brain-inspired neuromorphic computers are beginning to show an unexpected talent for tackling the complex equations that govern physical systems. New research demonstrates that these systems can solve ...

Neuromorphic computers may look like regular computers from the outside but the circuitry is entirely different.Sandia National Laboratories The world’s first neuromorphic supercomputer is moving ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.