Abstract: The integration of Artificial Itelligence (AI) and edge computing has sparked significant interest in edge inference services. In this paper, we consider delay-sensitive, differential ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

AI can rifle through enormous libraries of information to connect far-flung ideas—conceptual leaps remain a purely human skill. The planar unit distance problem, or Erdős problem 90, has intrigued ...

Last week, OpenAI shocked the mathematical community by revealing that one of its internal artificial intelligence (AI) models had found a counterexample to a famous conjecture made by legendary ...

Abstract: In this paper, we delve into the monotone sub-modular maximization problem with a cardinality constraint. We propose a priority-ordered swapping algorithm that iteratively improves the ...

Graph Neural Networks (GNNs) have become a central tool for learning from network-structured data, excelling in tasks such as node classification, link prediction and representation learning. In ...

David Cutler is in the spotlight for his work on a tasty-sounding mathematics problem. In January, the New York Times featured a research paper authored by Cutler and Neil Sloane, the founder of The ...

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 ...

The best way to fix Americans’ cost-of-living problem is to give workers bigger raises, Federal Reserve Chair Jerome Powell said last week. The problem: That solution looks broken, too. The US job ...

Getting good at LeetCode Java can feel like a puzzle sometimes, right? You see all these problems, and you’re not sure where to even start. This guide is here to break down the common approaches and ...