Open-source artificial intelligence (AI) refers to AI software and algorithms that are made available to the general public. These resources are typically shared under open-source licenses that allow anyone to access, modify, and distribute the code.

Open-source AI has many benefits:

1. Collaboration: It encourages collaboration among researchers, developers, and enthusiasts, allowing them to build upon each other’s work and foster innovation.
2. Transparency: Open-source AI enables greater transparency in algorithms and methodologies, allowing users to inspect and understand how they work.
3. Accessibility: Open-source projects are usually free to access and use, lowering the entry barrier for students, researchers, and small companies.
4. Customization: Since the source code is available, users can customize the software to fit their specific needs or requirements.

Some popular open-source AI frameworks and libraries include TensorFlow, PyTorch, scikit-learn, and Keras. These tools provide extensive functionalities for machine learning and deep learning and are widely used in both academia and industry.

The open-source community also provides various pre-trained models and datasets to facilitate research and development in AI.