It's difficult to say which artificial intelligence tool is the most used in the USA as the field of AI is vast and diverse, and different tools may be more popular in different industries and applications.
However, some of the most commonly used AI tools in the USA include:
TensorFlow: TensorFlow is an open-source software library developed by Google that is used for machine learning and deep learning applications. It is widely used for tasks such as image and speech recognition, natural language processing, and predictive analytics.
Keras: Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, Theano, or Microsoft Cognitive Toolkit (CNTK). It is designed to enable fast experimentation with deep neural networks and has become a popular tool for building and deploying machine learning models.
PyTorch: PyTorch is an open-source machine learning framework that is widely used for natural language processing, computer vision, and deep learning applications. It is known for its ease of use and flexibility, and has been adopted by many companies and researchers in the USA.
Scikit-learn: Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is widely used for data mining and data analysis tasks.
Microsoft Azure Machine Learning: Microsoft Azure Machine Learning is a cloud-based platform for building, training, and deploying machine learning models. It offers a range of tools and services, including automated machine learning, deep learning, and reinforcement learning capabilities, and is widely used by businesses in the USA for a variety of applications.
These are just a few examples of commonly used AI tools in the USA, and there are many more depending on the specific industry and application.
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