The race is on to develop an artificial intelligence that can do pure mathematics, and top mathematicians just threw down the gauntlet with an exam of actual, unsolved problems that are relevant to ...

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...

LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform. By Siobhan Roberts A few weeks ago, a high school student emailed Martin ...

After some serious number crunching, a researcher says that he has come up with a mathematical model for a viable time machine: a Traversable Acausal Retrograde Domain in Space-time (TARDIS). He ...

Abstract: This article explores the distributed containment control problem under dynamic directed topologies in discrete-time nonlinear multiagent systems (MASs) subject to parameter uncertainties ...

Tutors can’t do your work for you, but they can help you formulate study approaches that work best for you, enabling you to engage with the content more fully. In doing so, they may read your work for ...

Abstract: In this article, a novel model-free event-triggered method considering the distributed quadratic index is proposed for the containment control problem of discrete-time linear multiagent ...

We present Prover Agent, a novel AI agent for automated theorem proving that integrates large language models (LLMs) with a formal proof assistant, Lean. Prover Agent coordinates an informal reasoning ...

We used the LLaMA-2 model by Meta AI in our initial experiments, but pivoted to use codellama (codellama/CodeLlama-7b-hf) and subsequently fine-tuned that model on our custom training set. The ...