Today, optimization problems are usually solved using one of a number of maximum-flow algorithms, often shortened as max-flow. Max flow models a network by constructing a graph that represents all ...

Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics ... Then AlphaDev found ways to make key algorithms used trillions of times a day run ...

A new algorithm efficiently solves the graph isomorphism problem, computer scientist László ... Corresponding nodes are shown in the same color. In math terminology, “graph” is a fancy ...

One of the major threats facing the nascent AI world is hallucinations by chatbots. Google DeepMind's AlphaEvolve has the versatility of LLMs -- to summarise documents, generate code, and generate new ...

This new approach sidesteps the limitations of traditional math-based optimizers by using natural language to guide LLMs in problem ... Imagine a model's performance as a curve on a graph: The ...

One of the most classic algorithmic problems deals with ... for example. When a graph is dynamic, it means that it can change over time. The new algorithm handles changes consisting of deleted ...

And what got me to work on this article was a great discussion on Jeff Ferguson‘s post about whether we had the math to decode Google’s algorithm ... there aren’t problems like ...