As AI companies publish increasingly complex math proofs, the people who dedicated their lives to the discipline worry about ...

Although solving this problem posed a challenge to the leading models of OpenAI and Anthropic, doubleAI cracked it at a cost ...

AI systems solved and verified over 300 open math problems using formal Lean proofs, signaling a major leap for automated ...

In September 2026, OpenAI announced that their internal AI had solved over 100 unsolved mathematical problems.Seeing that, I suddenly wondered: "Could the AI I use every day solve at least one?"So, I ...

A classroom study of 49 Korean middle schoolers found that a gamified module combining GPT-generated staged hints with ...

AE, a graph embedding model that trains in closed form without gradient descent while outperforming conventional graph ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role. Over the past decade, there has been endless churn in technologies ...

AI math problem solver tools are helping the way that students learn and understand mathematics. These innovative tools use advanced AI algorithms and machine learning to break down tough math ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications. Data has the ...