Artificial intelligence (AI) has become an increasingly important part of software development. With the help of AI, developers can build more innovative and efficient software that can learn and adapt to changing circumstances.

Here are some of the top AI tools for software development:

TensorFlow: TensorFlow is an open-source software library developed by Google for data flow programming across various tasks. It is widely used for building and training neural networks for machine learning and deep learning applications. TensorFlow offers a high-level API called Keras, making it easy for beginners to use.

PyTorch: PyTorch is another open-source machine learning library widely used for building neural networks. PyTorch offers an easy-to-use API and is popular among researchers and practitioners alike.

Caffe: Caffe is a deep learning framework developed by Berkeley AI Research (BAIR) that is popular for its speed and efficiency. It is used by many companies, including Microsoft, Baidu, and NVIDIA, for image classification and other computer vision tasks.

Amazon SageMaker: Amazon SageMaker is a fully managed machine learning service that Amazon Web Services (AWS) provides. It makes it easy to build, train, and deploy machine learning models at scale. With SageMaker, developers can quickly develop and deploy machine learning models without worrying about infrastructure.

Microsoft Cognitive Services: Microsoft Cognitive Services is a collection of AI tools and APIs that developers can use to add intelligent application features. These include tools for natural language processing, computer vision, and speech recognition. With Cognitive Services, developers can easily add features like speech recognition and translation to their applications.

IBM Watson: IBM Watson is a suite of AI tools and services developers can use to build intelligent applications. Watson includes tools for natural language processing, speech recognition, and computer vision. It also includes means for building chatbots and virtual assistants.

Hugging Face: Hugging Face is a popular open-source library for natural language processing (NLP). It offers a wide range of pre-trained models that developers can use for tasks like text classification, sentiment analysis, and question-answering.

In conclusion, these are just a few top AI tools developers can use to build more innovative and efficient software. By incorporating AI into their applications, developers can create software that can learn and adapt to changing circumstances, making it more useful and valuable for users.