There are several platforms that are widely used in the field of artificial intelligence (AI) development. These platforms offer a range of tools and services that facilitate the design, training, deployment, and management of AI models. Here are some notable AI development platforms:
1. Google Cloud AI Platform: This platform provides a suite of machine learning products and services that enable developers to build, train, and deploy AI models. It includes services like Google Colaboratory, which offers free access to GPUs for training deep learning models, and AI Platform Notebooks for managing Jupyter notebooks in the cloud.
2. Amazon Web Services (AWS) AI: AWS offers a comprehensive set of AI services and tools, including Amazon SageMaker for building, training, and deploying machine learning models, and AI services like Rekognition for image and video analysis, and Comprehend for natural language processing.
3. Microsoft Azure AI: Azure AI provides a range of cloud services for machine learning and AI development. It includes Azure Machine Learning, which is a cloud-based environment for developing, training, and deploying machine learning models, as well as cognitive services like Computer Vision and Text Analytics.
4. IBM Watson: Watson is IBM's AI platform that offers a variety of tools and services for building AI applications. It includes Watson Studio for machine learning, Watson Machine Learning for deploying models, and Watson Knowledge Studio for building knowledge graphs.
5. Baidu AI Platform: Baidu's AI platform offers over 70 AI capabilities, including PaddlePaddle, which is an open-source deep learning platform, and various APIs for image recognition, speech recognition, and natural language processing. It also hosts the Baijiu Cup AI Native Application Development Challenge, which encourages developers to create applications with AI capabilities.
6. Alibaba Cloud AI: Alibaba's AI platform, also known as Ali灵杰, provides a cloud-native AI capability system. It offers a range of AI services, including machine learning platforms, and supports various industries with tailored AI solutions.
7. OpenAI: OpenAI is a research lab that develops and deploys safe AI. It provides access to advanced AI models and research tools, and is known for its work on GPT-3, a powerful language prediction AI model.
8. GOPS: General Optimal control Problems Solver (GOPS) is an easy-to-use reinforcement learning solver package that aims to build real-time and high-performance controllers in industrial intelligent control fields. GOPS is built with a highly modular structure that retains a flexible framework for secondary development. Considering the diversity of industrial control tasks, GOPS also includes a conversion tool that allows for the use of Matlab/Simulink to support environment construction, controller design, and performance validation. Dowloadable package: https://gops.readthedocs.io/en/latest/introduction.html