• Skip to primary navigation
  • Skip to main content
SRI logo
  • About
    • Press room
  • Expertise
    • Advanced imaging systems
    • Artificial intelligence
    • Biomedical R&D services
    • Biomedical sciences
    • Computer vision
    • Cyber & formal methods
    • Education and learning
    • Innovation strategy and policy
    • National security
    • Ocean & space
    • Quantum
    • QED-C
    • Robotics, sensors & devices
    • Speech & natural language
    • Video test & measurement
  • Ventures
  • NSIC
  • Careers
  • Contact
  • 日本支社
Search
Close

Artificial intelligence

SRI develops methods for building intelligent systems that learn, perceive and interact with the world both autonomously and in collaboration with humans. Our researchers create leading-edge technologies and explore their deployment across a broad range of applications.

CONTACT US

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

more +

  • SRI researchers are working to build the knowledge management technology of the future 

    Artificial intelligence

    January 11, 2023

    SRI researchers are working to build the knowledge management technology of the future 

    Funded by a $10.8 million Defense Advanced Research Projects Agency contract, the initiative aims to transform how organizations store and manage data.

  • SRI International celebrates global recognition of Bioinformatics Research Group and its BioCyc and Pathway Tools collection

    Artificial intelligence

    December 20, 2022

    SRI International celebrates global recognition of Bioinformatics Research Group and its BioCyc and Pathway Tools collection

    SRI’s BioCyc and Pathway Tools publication contributors named to 2022 Highly Cited Researchers List; EcoCyc selected as Global Core Biodata Resource

  • What is a social robot?

    Artificial intelligence

    October 28, 2022

    What is a social robot?

    Built In discusses social robots and AI, featuring insights from SRI Robotics’ Alexander Kernbaum

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

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.

Learn more about our contributions.

Artificial intelligence leadership

william-mark-bio-pic

William Mark

President, Information and Computing Sciences

karen-myers-bio-pic

Karen Myers

Lab Director, Artificial Intelligence Center

Featured innovators

karen-myers-bio-pic

Karen Myers

Lab Director, Artificial Intelligence Center

dayne-freitag-bio-pic

Dayne Freitag

Technical Director, Artificial Intelligence Center

peter-karp-bio-pic

Peter Karp

Technical Director, Artificial Intelligence Center

melinda-gervasio-bio-pic

Melinda Gervasio

Technical Director, Artificial Intelligence Center

eric-yeh-bio-pic

Eric Yeh

Advanced Computer Scientist II, Artificial Intelligence Center

john-byrnes-bio-pic

John Byrnes

Associate Technical Director, Artificial Intelligence Center

Latest publications

more +

  • November 3, 2022

    Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments

    We present an approach for autonomous sensor control for information gathering under partially observable, dynamic and sparsely sampled environments.

  • November 1, 2022

    Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning

    Our new framework provides various measures of RL agent competence stemming from interestingness analysis and is applicable to a wide range of RL algorithms.

  • October 8, 2022

    Accelerating Human Authorship of Information Extraction Rules

    We simulate the process of corpus review and word list creation, showing that several simple interventions greatly improve recall as a function of simulated labor.

  • August 17, 2022

    A Framework for understanding and Visualizing Strategies of RL Agents

    We present a framework for learning comprehensible models of sequential decision tasks in which agent strategies are characterized using temporal logic formulas.

  • August 1, 2022

    Experimental Evaluation of Subject Matter Expert-Oriented Knowledge Base Authoring Tools

    We describe a large-scale experiment in which non-artificial intelligence subject matter experts (SMEs)—with neither artificial intelligence background nor extensive training in the task—author knowledge bases (KBs) following a challenge problem specification with a strong question-answering component.

  • July 1, 2022

    Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space

    We present a novel generative method for producing unseen and plausible counterfactual examples for reinforcement learning (RL) agents based upon outcome variables that characterize agent behavior.

“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

sri_ericyeh_profile

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you.

Expect a response within 48 hours.

Career call to action image

Make your own mark.

Search jobs

Our work

Case studies

Publications

Timeline of innovation

Areas of expertise

Institute

Leadership

Press room

Media inquiries

Compliance

Careers

Job listings

Contact

SRI Ventures

Our locations

Headquarters

333 Ravenswood Ave
Menlo Park, CA 94025 USA

+1 (650) 859-2000

Subscribe to our newsletter


日本支社
SRI International
  • Contact us
  • Privacy Policy
  • Cookies
  • DMCA
  • Copyright © 2022 SRI International