A new perspective argues that a rich class of probability models known as Markov modulated models could transform how ...

Standard multi-agent pipelines break down when complex problems cannot be divided into subtasks in advance. Self-Organizing ...

For much of the past three decades, academic economists have increasingly relied on Dynamic Stochastic General Equilibrium ...

The Shanghai Artificial Intelligence Laboratory announced today that the three-dimensional Ghys conjecture, a world-class ...

AI agents add usage-based charges to seat licensing. CIOs must compare workflow costs, forecast consumption and decide who ...

Algorithmic trading uses predefined rules, market data, and automated execution to make trading decisions with greater speed ...

When solving math problem sets, have you ever had questions like these?"Why did they decide to factorize here?""Why did they ...

AI models are good at finding answers to mathematical puzzles but are not as good at research judgment, according to ...

An ancient Chinese math puzzle shows how to win at cards, horse races and gerrymandering A stratagem that dates back two ...

AI may soon be the default way to solve theoretical problems in economics, high-energy physics, and other fields, MIT ...

Approx. 8 minutes / 131,000 views Featured: Károly Zsolnai-Fehér (Program host. His profession is a researcher in light ...