SRI International’s Artificial Intelligence Center advances the most critical areas of artificial intelligence (AI) and machine learning. We develop methods for building intelligent systems that can learn, perceive and interact with the world, both autonomously and in collaboration with humans.
William Mark
President, Information and Computing Sciences
Karen Myers
Lab director, Artificial Intelligence Center
Core AI technologies and applications
At SRI, our researchers work together across disciplines to deliver on the promise of AI and machine learning. We create leading-edge technologies and explore their deployment across a broad range of application areas.
SENSING AND ANALYTICS
Scene recognition and understanding
Person recognition and tracking
Mapping and localization
Text understanding and summarization
Predictive analytics
HUMAN-SYSTEM INTERACTION
Conversational assistants
Intent recognition
Explainable systems
Mixed-initiative planning
Supervised autonomy
REASONING AND PROBLEM SOLVING
Adaptive planning and resource allocation
Multi-agent coordination
Decision-making under uncertainty
Bioinformatics
MACHINE LEARNING
Deep learning for language, image processing
Reinforcement learning
Learning from demonstration
Hybrid logic/learning architectures
Learning causal models
Our work
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Artificial intelligence
US government is developing AI to identify authors by their writing style
The HIATUS program aims to advance human language tech identify authors simply by their writing style
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Artificial intelligence
China and the United States: Unlikely partners in AI – Stanford HAI
SRI’s Raymond Perrault speaks to the benefits of collaboration in research
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Artificial intelligence
AI concepts for beginners: Understanding procedural reasoning systems in AI
A feature piece on SRI’s procedural reasoning system (PRS) concept.
A powerful legacy; a visionary future
SRI’s Artificial Intelligence Center has driven seminal breakthroughs in AI since the earliest days of the field, including the first mobile-robot (Shakey) and the widely used A* and RANSAC algorithms. Our researchers build on this legacy as we continue to push the boundaries of AI in autonomy, bioinformatics, personal assistants and machine learning.
Bioinformatics databases
BioCyc database collection
A comprehensive website for sharing fundamental information about biochemical pathways and genomes with researchers around the world
EcoCyc: encyclopedia of E. coli genes and metabolism
A bioinformatics database that describes the genome, metabolic network and regulatory network of Escherichia coli
Featured innovators
Featured publications
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Experimental Evaluation of Subject Matter Expert-Oriented Knowledge Base Authoring Tools
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VALET: Rule-Based Information Extraction for Rapid Deployment
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An Ontology-Based Dialogue Management Framework for Virtual Personal Assistants in Common Lisp
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Metabolic Modeling with MetaFlux
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What, Again? Automatic Deductive Synthesis of the Unification Algorithm
“SRI’s got that rare mix of people, creativity, technical diversity and excellence, and flexibility to pursue longer-range goals. Of course there are no guarantees, but SRI provides the tools for a motivated person to make things happen.”
— Eric Yeh
Senior Computer Scientist
