At Deluisio Angus near Leechburg, PA, a reasoning model plans matings while deterministic engines compute every EPD, dollar value and inbreeding coefficient. Artificial intelligence picks the sire, ...

Two systems with identical parameter counts can behave dramatically differently depending on how they are built.

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

A recent study published in the journal Cell provides evidence that the human brain uses a shared organizational map, or ...

In recent years, network and complexity science has seen a massive surge in models using hypergraphs and simplicial complexes to represent higher-order ...

Think about placing dots on a flat surface. You want as many pairs as possible to be separated by the same distance. For any amount of dots, what is the greatest possible number of pairs that can be ...

Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal model—and what that could mean for mathematics. Reading time 10 minutes Will ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

University of California professors are sounding the alarm on a “severe” lack of math skills among college students — thanks to a decision to ban standardized testing in admissions at the elite ...