While Dębiak won 500,000 yen and survived his ordeal better than the legendary steel driver, the AtCoder World Tour Finals ...

In contrast to existing traffic prediction models, large language models (LLMs) progress mainly through parameter expansion and extensive pre-training while maintaining their fundamental structures.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

In 2025, picking the best programming language for automation can mean fewer headaches and faster results. This post walks through how to weigh speed, tool support, and ease of use. We look at Python, ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a unique set of tokens understood only by each model. Until recently, there was no ...

Most of federated learning (FL) researches mainly focus on image and voice data at the expense of graph data. However, Graph Federated Learning (GFL) is specialized for FL on graphs, and received ...