The race to build AI systems that rival human intelligence has led to several claims of mathematical breakthroughs, but this week provided a clearer sign of progress.

Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...