Cartpole is often used in reinforcement learning research: it's easy to simulate and fast to run, but unlike pattern recognition tasks, it requires constant, fine-grained adjustments rather than a ...

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler ...

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...

Unpack the most common warehousing problems, their causes, and best practices and strategies for how to solve them.

It’s a breakthrough in the field of random walks.

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

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

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

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

In recent years, the artificial intelligence (AI) landscape has shifted from quiet curiosity to relentless noise. Conference taglines, vendor solicitations, and slide decks all seem to begin with the ...

The original version of this story appeared in Quanta Magazine. All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in ...

Sudoku is more than just a pastime; it’s a mental workout that sharpens logic, patience, and problem-solving skills. From casual enthusiasts to competitive solvers, players are constantly seeking ways ...