Artificial Intelligence

Artificial Intelligence

Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.

At Microsoft, researchers in artificial intelligence are harnessing the explosion of digital data and computational power with advanced algorithms to enable collaborative and natural interactions between people and machines that extend the human ability to sense, learn and understand. The research infuses computers, materials and systems with the ability to reason, communicate and perform with humanlike skill and agility.

Microsoft’s deep investments in the field are advancing the state of the art in machine intelligence and perception, enabling computers that understand what they see, communicate in natural language, answer complex questions and interact with their environment. In addition, the company’s researchers are thought leaders on the ethics and societal impacts of intelligent technologies. The research, tools and services that result from this investment are woven into existing and new products and, at the same time, made open and accessible to the broader community in a bid to accelerate innovation, democratize AI and solve the world’s most pressing challenges.

Focus areas


Machine learning

Developing and improving algorithms that help computers learn from data to create more advanced, intelligent computer systems.

Human language technologies

Linking language to the world through speech recognition, language modeling, language understanding, spoken language systems, and dialog systems.

Perception and sensing

Making computers and devices understand what they see to enable tasks ranging from autonomous driving to analysis of medical images.

AI, people, and society

Examining the societal and individual impacts on the spread of intelligent technologies to formulate best practices for their design.

Systems, tools and platforms

Integrating intelligent technologies to create interactive tools such as chatbots that incorporate contextual data to augment and enrich human reasoning.

Integrative intelligence

Weaving together advances in AI from disciplines such as computer vision and human language technologies to create end-to-end systems that learn from data and experience.

Cyberphysical systems and robotics

Developing formal methods to ensure the integrity of drones, assistive robotics and other intelligent technologies that interact with the physical world.

Human AI collaboration

Harnessing research breakthroughs in artificial intelligence to design technologies that allow humans to interact with computers in novel, meaningful and productive ways.

Decisions and plans

Reasoning about future events to enable informed collaborations between humans and intelligent agents.



“At Microsoft, we are focused on empowering both people and organizations, by democratizing access to intelligence to help solve our most pressing challenges. To do this, we are infusing AI into everything we deliver across our computing platforms and experiences.”

– Satya Nadella, 2016