How to solve complex, real-world problems using applied math Applied mathematicians have to find a balance between models that are realistic enough to be useful and simple enough to be implemented.

D-Wave explains how quantum supremacy can be used to handle more than theoretical problems ...

Google DeepMind’s AlphaProof and AlphaGeometry 2 are milestones for AI reasoning. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox ...

Quantum computing is regarded to be a rapidly-evolving technology that is the key to solve the world's complex problems. Just how big is its impact on us?

Google DeepMind’s new AI systems can now solve complex math problems AlphaProof and AlphaGeometry 2 are steps toward building systems that can reason, which could unlock exciting new capabilities.

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 ...

Solving the hardest quantum problems Testing the V-score, the scientists found that some quantum systems are much easier to solve than others.

On its face, quantum computing sounds like a made-up concept, straight out of a sci-fi flick. But far from just a futuristic buzzword, the emerging tech has the potential to upend the way commercial ...

In this guide, I'll show you how you can use it to solve real-world problems. To follow along as you read this guide, download a free copy of the Excel workbook used in the examples.