When making decisions and judgments, humans can fall into common "traps," known as cognitive biases. A cognitive bias is ...

AI agents can't recommend what they can't understand. Your product data structure determines whether agents see you as a viable option or skip you entirely.

Abstract: Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Abstract: Optimization plays a vital role in science and engineering. Nonlinear problems demand optimized solutions, traditional Algorithms fail to solvethese kinds of problems. A Recent trend is to ...

After years of assigning the kind of homework she had done as a student and observing students’ disengagement with it, a teacher overhauled how she assigns math practice.

Faengsrud founded House of Math in 2006, bootstrapping it from a one-woman tutoring service into a platform with over 2.6 million users.

DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

In other words, you want to construct a polyhedral torus with faces that are shapes such as triangles or rectangles. Your peculiar-looking shape will be trickier to construct than one with a smooth ...

Artificial intelligence has attained an impressive series of feats—solving problems from the International Math Olympiad, ...