When the Leiden Declaration on Artificial Intelligence and Mathematics went live on 2 June 2026, things moved quickly. The ...

Chef Brad Leone goes on a high-stakes hunt tracking a massive invasive 10-foot python in the wild. How BJP's Big Wins In Five States Have Changed The Math For 2027 Presidential Polls? 7 symptoms of ...

Python is a versatile language that supports web development, data science, AI, and scripting. Its readable and simple, English-like syntax, makes it ideal for fast development. Created by Guido van ...

Abstract: Large Language Models (LLMs) have gained usage across various domains, especially in education. However, the current state-of-the-art LLMs fail in numerical calculations due to their ...

Download PDF Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal ...

Symbolic regression (SR) has emerged as a powerful tool for automated scientific discovery, enabling the derivation of governing equations from experimental data. A growing body of work illustrates ...

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...

hal-cgp is an extensible pure Python library implementing Cartesian genetic programming to represent, mutate and evaluate populations of individuals encoding symbolic expressions targeting ...

Gene Expression Programming (GEP) is a popular and established evolutionary algorithm for automatic generation of computer programs and mathematical models. It has found wide applications in symbolic ...

Modeling marketing and pricing decisions based on historical data is one of the most efficient ways to guide business strategies. This article shows how statistics and programming work together to ...

RE-IMAGINE synthesizes new reasoning benchmarks by (1) symbolically mutating the solution processes from existing benchmarks, and (2) asking language models to imagine what would happen if the ...