AI Platform & Services –We are focused on building a new set of AI services and tools to make AI accessible to every organization. At Microsoft we are platform builders by trade, that is we build the infrastructure that others use to build their products and services on. In the case of...
“Microsoft’s Approach to AI” 介绍页面:news.microsoft.com/sour 微软一直处于AI前沿研究的前列,并将这些强大、创新的AI技术整合到微软的产品与服务中,帮助客户实现更多。由Azure驱动的微软AI技术,每天在 Windows、Xbox、Microsoft 365、Teams、Azure AI、Power Platform、Dynamics 365 和 Microsoft Defender 中提供...
For Microsoft, these principles are the cornerstone of a responsible and trustworthy approach to AI, especially as intelligent technology becomes more prevalent in products and services that people use every day.Microsoft intended its Responsible AI Standard to provide guidanc...
In this document, we describe our approach to responsible AI for Copilot in Bing. Ahead of release, we adopted state-of-the-art methods to identify, measure, and mitigate potential risks and misuse of the system and to secure its benefits for users. As we have continu...
Learn about AI and access resources and training on in demand artificial intelligence and machine learning skills for jobs and organizations.
AI 学习中心探索我们的学习中心(受信任的源)以帮助你学习 AI 技能,并准备好使用 Microsoft 云实现 AI 转换。 通过精心策划的计划和资源开始 AI 学习之旅,旨在支持业务和技术角色、个人和组织构建 AI 技能。 发现首选内容 探索精选出的且值得注意的最新内容...
“Microsoft is building the infrastructure to support AI innovation, and we are reimagining every aspect of our datacenters to meet the needs of our customers,” said Scott Guthrie, executive vice president of Microsoft’s Cloud + AI Group. “At the scale we operate, it’s important for us...
Microsoft is working across many fronts to make the promise of AI real, and here you’ll find the resources, information and access to help media outlets, journalists and influencers bring their audiences along on the journey.
so business users can benefit from it, even if they don't know anything about coding or data science. In this approach, AI is delivered as a Software as a Service (SaaS) and becomes transparent, that is, it's fully integrated within the provided service without users having to worry abou...
AtMicrosoft Semantic Machines, we’re working to bridge this gap—to build conversational AI experiences where you can focus on saying what you want and the system will worry about how to get it done. You should be able to speak as you speak to a friend: naturally, contextually, and ...