This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

Abstract: The precision of floating-point numbers is a critical task in high-performance computing. Many scientific applications rely on floating-point arithmetic, but excessive precision can lead to ...

Abstract: Hyperparameter optimization on machine learning models is crucial for their correct refinement. For complex big models such as deep learning (DL) models, in which a single training model is ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...

This project provides common data structures and algorithms with clean, expressive, and reusable abstractions — bringing a modern programming experience to C. It includes implementations of widely ...