An OpenAI model solved a famous math problem that stumped humans for 80 years

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...
Communications of the ACM

I Spent a Year Asking AI to Solve Math’s Hardest Problem. Here’s What Happened

P vs. NP asks: are these two classes actually the same? If P = NP, then every “hard” problem is secretly fast to solve; we ...

An AI solution to an 80‑year‑old problem has shocked mathematicians

Last week, OpenAI shocked the mathematical community by revealing that one of its internal artificial intelligence (AI) ...
Investopedia

Luhn Algorithm: Verify Credit Card Numbers and Ensure Accuracy

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Khadija Khartit is a strategy, investment, and funding expert, and ...
GitHub

human_cognition_inspired_rag_with_knowledge_graph_for_complex_problem_solving.md

description [AAAI 2026][Graph Learning][RAG] This paper proposes CogGRAG, a human cognition-inspired knowledge graph-based RAG framework that substantially improves LLM accuracy and reliability on ...
CNET

Counting on AI to Solve Problems Makes Us More Likely to Struggle and Give Up, Study Suggests

Researchers say the findings raise questions about what happens to our brains and patterns if we depend too much on AI. Dashia is the consumer insights editor for CNET. She specializes in data-driven ...
IEEE

Machine Learning-Based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design

Abstract: Biofuels derived from feedstock offer a sustainable source for meeting energy needs. The design of supply chains that deliver these fuels needs to consider quality variability with special ...
IEEE

Sufficient Conditions for Solving Statistical Filtering Problems by Dynamic Programming

Abstract: The paper studies discrete-time statistical filtering problems with the goal to minimize expected total costs. Such problems are usually defined by pairs of stochastic equations and by ...