--- title: Latest AI News emoji: 📰 colorFrom: indigo colorTo: blue sdk: streamlit sdk_version: "1.32.0" app_file: app.py pinned: false --- # Latest AI News This repository serves as a curated collection of the most recent and significant developments in artificial intelligence. The goal is to provide AI enthusiasts, researchers, students, and professionals with a centralized resource to stay updated on breakthroughs, research papers, product launches, and industry trends. ## 📚 Contents This repository includes: - News about major AI product releases - Updates on AI industry trends - Insights from AI conferences and events - Resources for learning about new AI technologies ## 🔗 App Link Check out the live application: https://latest-ai-news.streamlit.app/ ## 🎬 Demo Watch our video demonstration to see the app in action: https://github.com/user-attachments/assets/1db2065e-766a-47f5-b23a-56aad8938841 ## ✨ Features - **Modern Card-Based Interface**: News displayed in an elegant three-column grid layout - **Responsive Design**: Works well on different screen sizes - **RSS Feed Integration**: Automatically pulls content from top AI news sources - **Smart Filtering**: Filter news by date range and source - **Customizable View**: Select specific news sources or view all content - **Real-time Updates**: Refresh data with a single click - **Image Support**: Displays source images when available ## 🔄 Updates This repository is updated regularly to ensure the content remains current and relevant. Check back frequently or watch the repository to be notified of new updates. ## 💻 Technical Details - **Framework**: Built with Streamlit for rapid development and easy deployment - **Data Sources**: Aggregates news from 12+ leading AI publications including: - Google DeepMind Blog - OpenAI News - MIT Technology Review - NVIDIA Blog - Microsoft Research - The Berkeley AI Research Blog - And more... - **Automatic Content Processing**: Handles different date formats and content structures - **Parallel Processing**: Uses concurrent fetching for faster data retrieval --- Created and maintained by [Buse Koseoglu](https://github.com/busekoseoglu) this is a mere adaptation.