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---
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title: Latest AI News
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emoji: 📰
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colorFrom: indigo
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colorTo: blue
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sdk: streamlit
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sdk_version: "1.32.0"
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app_file: app.py
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pinned: false
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---
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# Latest AI News
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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.
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## 📚 Contents
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This repository includes:
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- News about major AI product releases
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- Updates on AI industry trends
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- Insights from AI conferences and events
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- Resources for learning about new AI technologies
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## 🔗 App Link
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Check out the live application: https://latest-ai-news.streamlit.app/
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## 🎬 Demo
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Watch our video demonstration to see the app in action:
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https://github.com/user-attachments/assets/1db2065e-766a-47f5-b23a-56aad8938841
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## ✨ Features
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- **Modern Card-Based Interface**: News displayed in an elegant three-column grid layout
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- **Responsive Design**: Works well on different screen sizes
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- **RSS Feed Integration**: Automatically pulls content from top AI news sources
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- **Smart Filtering**: Filter news by date range and source
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- **Customizable View**: Select specific news sources or view all content
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- **Real-time Updates**: Refresh data with a single click
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- **Image Support**: Displays source images when available
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## 🔄 Updates
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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.
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## 💻 Technical Details
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- **Framework**: Built with Streamlit for rapid development and easy deployment
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- **Data Sources**: Aggregates news from 12+ leading AI publications including:
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- Google DeepMind Blog
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- OpenAI News
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- MIT Technology Review
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- NVIDIA Blog
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- Microsoft Research
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- The Berkeley AI Research Blog
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- And more...
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- **Automatic Content Processing**: Handles different date formats and content structures
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- **Parallel Processing**: Uses concurrent fetching for faster data retrieval
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## 🤝 Contributing
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Contributions are welcome! If you'd like to contribute to this repository:
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1. Fork the repository
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2. Create a new branch (`git checkout -b feature/your-feature`)
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3. Commit your changes (`git commit -m 'Add some feature'`)
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4. Push to the branch (`git push origin feature/your-feature`)
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5. Open a Pull Request
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### Contribution Guidelines
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- Ensure all information is accurate and from reliable sources
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- Include references or links to original sources
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- Follow the existing formatting structure
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## 📝 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 📞 Contact
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If you have any questions or suggestions, feel free to:
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- Open an issue in this repository
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- Contact the repository owner (Buse Koseoglu) through GitHub
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## ⭐ Star This Repository
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If you find this repository useful, please consider giving it a star to help others discover it!
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---
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Created and maintained by [Buse Koseoglu](https://github.com/busekoseoglu)
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