Here are 10 popular AI tools that are widely used in various industries:

1. TensorFlow: An open-source software library for dataflow and differentiable programming across a range of tasks, including machine learning, deep learning, and neural networks.

2. Keras: A high-level neural networks API, written in Python and capable of running on top of TensorFlow, designed for fast experimentation with deep neural networks.

3. PyTorch: An open-source machine learning library that provides high-level features such as tensor computation with strong GPU acceleration, automatic differentiation, and building deep neural networks on a tape-based autograd system.

4. OpenCV: An open-source computer vision and machine learning software library that provides a range of tools for image and video processing, including object detection, face recognition, and optical character recognition.

5. IBM Watson: A suite of AI-powered services and solutions that can be integrated with various applications to perform natural language processing, speech-to-text, text-to-speech, and other AI tasks.

6. Dialogflow: A conversational AI platform that enables developers to design, build, and deploy conversational interfaces for websites, mobile apps, and chatbots.

7. H2O.ai: An open-source platform for building and deploying machine learning models, including deep learning models, using popular programming languages such as Python and R.

8. Amazon SageMaker: A cloud-based machine learning platform that provides tools for building, training, and deploying machine learning models at scale.

9. Google Cloud AutoML: A suite of machine learning products that enables developers with limited expertise to train high-quality custom models using their own data.

10. Microsoft Azure Machine Learning: A cloud-based machine learning platform that provides tools for building, training, and deploying machine learning models using popular programming languages and frameworks such as Python and TensorFlow.