Artificial Intelligence (AI) has revolutionized the field of science, offering new tools and methods for research and discovery. Below are some valuable resources that can help you explore the intersection of AI and science.
Online Courses
- Coursera: Offers a variety of AI courses from universities around the world. Start Learning
- edX: Provides AI courses from top institutions. Explore edX
Research Papers
- arXiv: A repository of scientific papers in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, and statistics. Visit arXiv
- NeurIPS: The conference on Neural Information Processing Systems is a leading event for AI research. Access NeurIPS Papers
Datasets
- UCI Machine Learning Repository: Hosts a large collection of datasets for machine learning research. Explore UCI Datasets
- Kaggle: Provides datasets, kernels, and notebooks for data science competitions and projects. Join Kaggle
AI Tools
- TensorFlow: An open-source machine learning framework developed by Google Brain. Learn TensorFlow
- PyTorch: An open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing. Get Started with PyTorch
Communities
- Reddit: Subreddits like r/MachineLearning and r/Artificial contain discussions and resources on AI. Join r/MachineLearning
- Stack Overflow: A Q&A site for programmers, with a large community of AI developers. Ask on Stack Overflow
AI in Science