AI for Automotive 150218

AI for Automotive

Dr. Bill Mark President, Information and Computing Sciences SRI International Menlo Park, CA

© 2018 SRI International. All Rights Reserved. © 2018 SRI International. All Rights Reserved. Independent, non-profit research institute founded by Stanford University in 1946 • 2,000+ staff members; 2/3 advanced degrees San Francisco • $500M+ in annual revenues

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acquired by acquired by Google ISRG (NASDAQ) acquired by Apple Chan Zuckerberg Initiative NUAN (NASDAQ)

ORCH (NASDAQ) acquired by Dow acquired by acquired by acquired by Nokia Parker Hannifin Morpho/Sarfan Exits

acquired by acquired by acquired by Lighting Science Redbrick Health acquired by ConVerge One acquired by SalesForce Yahoo

AI for Financial Tech Industrial Automation Wearable Robotics Agricultural Robotics Education LiDAR Systems Active

Voice Analytics Space Services Metal “print and plate” Online Gaming Biometrics Video Content Distribution manufacturing process

Intellectual property Virtual Personal Key IP in vision, speech, information security, virtual assistant, Machine computational biology Learning Assistance Licenses VPA Vision Systems & Artificial Intelligence Cyber DynaSpeak Robotics Center Security ATSE SenSay AnalyticsTM BotHunter Center for Vision Computer Science VisionIP Technologies Laboratory Augmented Ventures Reality Speech Technology Emotion and Research Lab Formal Detection Design

Speech Speaker Recognition Identification

Big Data: the power of correlation

Small Data: the power of interaction

Trusting and collaborating with AI

BILLIONS OF IMAGES AND CocaCola VIDEOS

DEEP LEARNING

Changing a tire

I need to go back to the Can I eke the battery to office before I go home. Can get back to the office I make it on this charge? and then home? How long are you Your average on that route is going to spend at the 54%, but you ‘ve done it with office? 44%, which would work.

Just need to pick What was traffic like on something up. the 44% day?

It would be best to Normal. Your charge for 30 minutes. acceleration was Would that work? especially gentle...

© 2018 SRI International. All Rights Reserved. Virtual Personal Assistant Architecture User Interface & Client Application Domain Specific Application Resources Acoustic & Statistical Language Language Domain Domain Model Model Web Output Specific Specific Services Templates Ontology Workflows Object and Gesture Models Backend General Virtual Personal Assistant Platform Systems Automatic Natural Speech Language Recognition Understanding Text To Interpretation Reasoning Output Speech Generation (TTS) Image Understanding

Controller

© 2018 SRI International. All Rights Reserved. Conversation is more than words Next Generation Virtual Personal Assistant Combines visual and other sensor information Understands (and responds to) emotion

• Improve efficiency through interactive step-by-step procedures

HUMANS and MACHINES AUTONOMOUS The ENVIRONMENT is have different approaches SYSTEMS are complex DYNAMIC, making to problem solving and evolve over time autonomy unpredictable

CHARACTERIZE FILL CHARACTERIZE STATE EXPLAINABILITY UNCERTAINTY Feature aggregation GAPS Simulation Directed exploration Meaningful Stochastic differences outcomes Human-level Confidence interpretation levels

INFER CAUSAL STRUCTURE Project long-term effects Assign meaning to numeric features Coverage of agent model Provide decision Assess predictability rationale Increase confidence

Widespread Small data Trust becomes experimentation with becomes more the gating personalization and important for condition for emotional connection differentiation collaboration