AI models are starting to crack high-level math problems

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
NextBigFuture

XAI Grok 4.20 and OpenAI GPT 5.2 Are Solving Significant Previously Unsolved Math Proofs

A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...
eWeek

GPT-5.2 Just Solved a 30-Year Math Problem

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
IEEE

Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification

Abstract: Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks ...
IEEE

PGDTA: Predicting Drug-Target Affinity Using Three-Dimensional Structure of Protein Pocket and Graph Neural Network

Abstract: Drug-Target Affinity (DTA) prediction plays a crucial role in drug discovery, and accurate DTA prediction can significantly reduce the cost of drug development. While most studies focus on ...