Notes:
Microsoft Azure is a cloud computing platform that provides a range of cloud services, including computing, analytics, storage, networking, and more. These services can be used to build, deploy, and manage applications and other resources through a global network of data centers. Azure is designed to be flexible and scalable, allowing users to access and use resources as needed, and pay only for what they use. Some common use cases for Azure include building and hosting websites and web applications, storing and analyzing data, and creating and deploying artificial intelligence and machine learning models. Azure also provides tools and services for managing and automating the lifecycle of applications and resources, including deployment, monitoring, and security.
Microsoft Azure offers a range of tools and services that can be used to create and manage virtual humans, also known as avatars or digital humans. These tools and services include:
- Azure Machine Learning: This service allows you to build, train, and deploy machine learning models that can be used to create realistic and expressive virtual humans.
- Azure Cognitive Services: This collection of APIs enables you to build intelligent applications that can understand, interpret, and respond to human language and input. These APIs can be used to create virtual humans that are capable of natural language processing, speech recognition, and text-to-speech synthesis.
- Azure Virtual Machines: These cloud-based servers allow you to run any workload, including applications that create and manage virtual humans.
- Azure Blob Storage: This service provides secure, scalable, and high-performance storage for large data sets, including virtual human models and assets.
By using these and other Azure tools and services, developers and organizations can create and manage virtual humans that can be used for a wide range of applications, including entertainment, education, training, customer service, and more.
Resources:
- studio.azureml.net .. a gui-based integrated development environment for machine learning workflow
Wikipedia:
See also:
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