Two brothers in Singapore have built a data-encryption company on pure mathematics, betting that a problem no algorithm can ...

Many real-world problems such as industrial production planning 1,2, traffic signal control 3,4, military strategic decision-making 5,6 and energy management of hybrid electric vehicles 7 can be ...

The numerical solution of partial differential equations (PDEs) is essential in computational physics. Over the past few decades, various quantum-based methods have been developed to formulate and ...

Question, Delete, Simplify, Accelerate and Automate—focuses on challenging assumptions, removing unnecessary processes and ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

A game of chess requires its players to think several moves ahead, a skill that computer programs have mastered over the years. Back in 1996, an IBM supercomputer famously beat the then world chess ...

This is a huge advance for AI to make big progress with better reasoning and better math. Artificial general intelligence (AGI) with advanced mathematical reasoning has the potential to unlock new ...

After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can be only one big winner—if there is a winner at all. I’m standing in front ...