OpenAI’s new model broke rules and exploited loopholes more than any model METR has tested to date ...

This repository supports the following paper: M. Zhang, P. Li, Y. Xia, K. Wang, and L. Jin, Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. [PDF] SEAL ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: We use a graph-theoretic approach which yields improvements on the known Gilbert-Varshamov (GV) bound for sum-rank-metric codes for certain parameters. In particular, we show that ...

Abstract: In graph theory, a tree is one of the more popular families of graphs with a wide range of applications in computer science as well as many other related fields. While there are several ...

Ann Behan has 10 years-plus of experience researching, writing, and editing articles, white papers, and executing searches at the board level across various industries. Her expertise includes ...

Rubik's cubes are great for fun, fast-paced problem solving, but they also have a rich mathematical structure involving ideas of symmetry and connectivity. A 3x3x3 Rubik’s cube has 43 quintillion ...

Geometry may have its origins thousands of years ago in ancient land surveying, but it has also had a surprising impact on modern physics. In the latest episode of The Joy of Why, Yang-Hui He explores ...

Recent financial crises and periods of market volatility have heightened awareness of risk contagion and systemic risk among financial analysts. As a result, financial professionals are often tasked ...