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---
title: Latest AI News
emoji: π°
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.
## π 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
## π App Link
Check out the live application: https://latest-ai-news.streamlit.app/
## π¬ Demo
Watch our video demonstration to see the app in action:
https://github.com/user-attachments/assets/1db2065e-766a-47f5-b23a-56aad8938841
## β¨ 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
## π 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.
## π» 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.
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