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.

Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably the atoms constituting the material are bonded. The core of molecular design ...

The race is on to develop an artificial intelligence that can do pure mathematics, and top mathematicians just threw down the gauntlet with an exam of actual, unsolved problems that are relevant to ...

Jaime Garcia, the dean of academics at LISA Academy North Middle-High School won a $25,000 award from the National Institute for Excellence in Teaching, in part for the work he's done to build ...

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 ...

From Abraham Lincoln's patent to James A. Garfield's geometry proof, learn how these 19th- and 20th-century commanders in ...

An array of 15,000 qubits made from phosphorus and silicon offers an unprecedentedly large platform for simulating quantum ...

Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

Abstract: There has been a growing interest in the evolution of steerable parametric array loudspeakers for manipulating highly directional audio beams without mechanical steering. Given this ...