Computers based on slime molds may be the next step for solving some of the most advanced and resource-heavy problems.

Combinatorial optimization problems are ubiquitous, underpinning decision-making in a wide range of fields, including ...

For all of the recent strides we’ve made in the math world, we’re forever crunching calculations in pursuit of deeper ...

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 ...

Researchers explore how amoebae can be used to develop highly energy-efficient computing systems, aimed at solving complex ...

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC, the leader in decision intelligence technology, is pleased to announce the release of its "State of Mathematical Optimization 2023" report.

Ed Rothberg is Chief Scientist and Chairman of the Board at Gurobi, producer of one of the world’s fastest mathematical optimization solver. Despite a growing level of interest in mathematical ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers. That, at least, is the theory behind mathematical ...