Artificial Intelligence Center

A powerful legacy; a visionary future

Our researchers work together and across disciplines to deliver on the promise of AI. We are pushing technical boundaries to create leading-edge technologies and we are exploring their ethical deployment across a broad range of application areas.

Machine learning is a major focus, both as a core research area and as an enabler for natural language processing, computer vision, autonomy, and intelligent assistance. We are pioneering methods to enable effective learning when data is scarce, as well as to understand the limits of learned models. Effective human-machine interaction is a second focus, to ensure that humans can readily understand and direct AI systems. Our research leverages symbolic reasoning for areas such as planning and bioinformatics and hybrid neural-symbolic architectures for tasks that require a combination of learning from data and compiled knowledge.

Founded in 1966, SRI’s Artificial Intelligence Center has played a key role in AI research since the field’s early days. The center has been the source of many seminal contributions to AI, spanning mobile robotics (Shakey), search (the A* algorithm), planning (STRIPS), image understanding (the RANSAC algorithmTerraVision) and information extraction from text (FASTUS).  

The center has an outstanding track record of moving research into the real world. Spin-offs built using our technology include: Siri (acquired by Apple), Tempo AI (acquired by Salesforce), Meta (acquired by the Chan-Zuckerberg Initiative), Summly (acquired by Yahoo), and Social Kinetics (acquired by Redbrick Health). Recently hatched companies include: Vitrina AIKasisto, Pulse, and Confidencial. Our BioCyc family of bioinformatics knowledge bases and tools has been licensed by over 11,000 users to support biological research at universities and corporate labs around the world.

Human language technologies

Agent-based systems

Computer perception

Computers, humans, and AI


Machine Learning

Artificial intelligence in the real world

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Our work

DASL is a next-generation AI technology that was explicitly designed to deal with situations where the amount of data available is insufficient for standard machine learning. DASL learns from a combination of available data and human knowledge by combining state-of-the-art machine learning with reasoning mechanisms to identify problems and explain them clearly.

A comprehensive website for sharing fundamental information about biochemical pathways and genomes with researchers around the world.

From photo to building: a collaboration in generative model architectural design SRI collaborates on a new design toolkit called AiCorb®

Our latest publications

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