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A newer version of the Streamlit SDK is available:
1.45.0
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 this is a mere adaptation.