IEEE

AI-Driven Classification of Tsunami-Generating Earthquakes: Harnessing Random Forest, SVM, and Logistic Regression for Early Detection

Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
marktechpost

A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning

In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...
National Catholic Reporter

Pope Leo tells priests not to use AI to write homilies or seek likes on TikTok

Pope Leo XIV has urged priests to not to use artificial intelligence to write their homilies or to seek "likes" on social media platforms like TikTok. In a question-and-answer session with clergy from ...
GitHub

TheOne Studio - Claude Code Training Skills

Train Claude Code to write production-ready code following TheOne Studio best practices for each development team. These skills enforce code quality, architecture patterns, and framework-specific ...
IEEE

Machine Learning-Based Classification of Crisis-Related Tweets: A Comparative Study Using Logistic Regression, Random Forest, and BERT

Abstract: Social media has become a crucial communication medium during disasters, producing large volumes of user-generated content that, if properly filtered, can provide responders with timely and ...