OpenAI is rolling out the full, limited-release version of GPT-5.5-Cyber—a specialized AI model that outperforms its ...

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...

With automated proof-checkers, a problem can be broken up into small chunks, solved bit-by-bit, then reassembled with confidence that every piece is correct. For some, this heralds a new area in ...

The tipping point came in the summer of 2025. That July, several artificial intelligence models solved five out of six problems at the International Mathematical Olympiad, an annual challenge for some ...

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 ...

Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various community and nonprofit organizations. She has conducted in-depth research on social and economic issues ...

Learn how to implement the Reduced Row Echelon Form (RREF) algorithm from scratch in Python! Step-by-step, we’ll cover the theory, coding process, and practical examples for solving linear systems.

passagemath is open source mathematical software in Python, released under the GNU General Public Licence GPLv2+. It is a fork of SageMath, which has been developed 2005-2026 under the motto "Creating ...

The tfc Python module is designed to help you quickly and easily apply the Theory of Functional Connections (TFC) to optimization problems. For more information on the code itself and code-based ...

Large language models (LLMs) have significantly advanced natural language understanding and demonstrated strong problem-solving abilities. Despite these successes, most LLMs still struggle with ...

Explore our campus, meet lecturers and current students, and learn more about what it's like to study at Manchester. Join us as a mathematics undergraduate, and you can tailor your learning with a ...

In the realm of machine learning, one of the most debated topics is determining the ideal ratio for splitting data into training and testing sets. While conventional wisdom often suggests ratios like ...