Ijcai nyc ai summit 20140224 v1

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IJCAI NYC AI Summit 2014

IJCAI NYC AI Summit 2014

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  • From “micro-world challenges” (e.g., blocks world) to “real-world challenge”s at scale – from AI to IA.
    Hutter: http://en.wikipedia.org/wiki/Hutter_Prize
    RoboCup: http://en.wikipedia.org/wiki/RoboCup
    TradingAgents: http://ai.eecs.umich.edu/people/wellman/?cat=6
    I have lunch today with Fei-Fei Li at Stanford
    Dharmendra Moda and Team are working on these DARPA Challenges - including 10x less energy than best previous
    IBM has already succeeded at two big challenges:
    My very, very limited thinking to date is summarized here: http://service-science.info/archives/3444
    How can cognitive systems be used to improve the productivity and creativity of:
    (1) Individual researchers and their teams?
    (2) Research universities and their regions?
    Productivity and creativity measures include generating top-cited papers, top-revenue-generating patents, top-fast-growth startups (business plans).
    Cognitive systems can help improve access to collaborators, data sets, tools and services, challenges (cognitive sport events and prizes), etc.


  • 1. Theme 3: Strong AI, Integrated AI, Open AI, Challenges Jim Spohrer, Director Global University Programs and Cognitive Systems Institute February 2014 Click to add text © 2014 IBM Corporation
  • 2. New Era of Computing Rapidly Evolving Cognitive Systems Architectures  Watson – Analytic Cognition  SyNAPSE – Intuitive Cognition – OpenPOWER Watson Architectures – Reasoning, Logic & Planning – Symbolic Processing – Natural Language Processing – Ranking of Hypotheses – Knowledge Representations – Domain-Specific Ontologies – Information Storage/Retrieval – Machine Learning – Brain-Inspired SyNAPSE Architectures – Recognition, Sensing & Acting – Pattern Processing – Image & Speech Processing – Ranking of Hypotheses – Pattern Representations – Domain-Specific Neural Nets – Information Storage/Retrieval – Machine Learning Cognition as a Service 2 © 2014 IBM Corporation
  • 3. Grand Challenges Data Sets, Tools & Services  Artificial Intelligence – – – – – – – – – Cognitive Sport & Games Deep Blue (Chess) Watson (Jeopardy!) Robocup TradingAgents DARPA Grand Challenges NIST Competitions Hutter Prize Loebner Prize  Intelligence Augmentation – Pass professional certification exams – Improve performance – both productivity and creativity – Problem-solving professionals – Researchers – Research Teams – Research Universities – Regions – Cognitive Enterprise Cognition as a Service 3 © 2014 IBM Corporation
  • 4. Challenges Strong AI Integrated AI Open AI Sub-discipline silos  Missing Integration Architecture – Game 1: Single univ. – Game 2: Strongest link – Game 3: Weakest link Reality & Scale -Missing Data -Missing Models -Missing ObjFunc -Missing Stakeholders -Missing Integration Arch Challenge: Boot-up ultra-intelligent machine (per Stuart Russell, Berkeley) Sub-challenges: existing grand challenges (Hutter Prize, Loebner Prize, Robocup, Trading Agents, BlueGene, Jeopardy, plus research paper, plus kick starter campaign) © 2014 IBM Corporation
  • 5. © 2014 IBM Corporation
  • 6. Back up Click to add text © 2014 IBM Corporation
  • 7. Cognitive Systems Institute  Virtual Institute to encourage and to advance cognitive systems research:  POVs from Academia, Industry, Governments, Professional Associations  Development of Curriculum, Data Sets, Tools & Services, Grand Challenges  Cognitive Science the Study of Cognitive Systems – Their Design & Evolution  Cogs = Individual Cognitive System Entities (Local Capabilities)  CogNets = Ecology of Nested, Networked Cogs (Collective Capabilities)  Theme: Cognitive Science and the Transformation of Business & Society  How will advanced cognitive systems change what and how we learn, work & play?  How will cognitive systems improve performance (productivity & creativity) of:  Researchers & their teams? Research universities & their regions?  How will “cognitive bulldozers plow through big data” to accelerate:  Learning? Discovery? Engagement (scaling innovations for benefit of society)? 7 © 2014 IBM Corporation
  • 8. Cogs & CogNets  Cogs: Degrees of capability for processing information about environment, self-others  Living: Biological Reproduction (Natural)  Examples: People, Animals  Awareness Levels: Spatial, SocialRoles, Temporal  Non-Living: Manufactured Production (Human-Made)  Example: Sophisticated Sensors, Smart Phones BORO Method (http://en.wikipedia.org/ wiki/BORO_method) - Entities - Set of Entities - Relations  Capability Levels: Memory, Processing, Bandwidth  CogNets: Ecology of nested, networks Cogs – design and evolution  Rights: Governance Infrastructure Scaling (Governed)  Examples: Businesses, Governments  Responsibility Levels: To Customers, Citizens, Employees, Shareholders, etc.  No-Rights: Technology Infrastructure Scaling (Owned)  Examples: Data Centers, Internet Nodes  Capability Levels: Self-healing, learning, threat-detection 8 © 2014 IBM Corporation
  • 9. IBM University Programs: Cognitive Systems Offerings & Levels Resources for Faculty and Students (Under Development Now)  Access to Information (First Level – Careers: Readiness & Skills): – Software • Watson APIs in the Cloud (for fee) • SyNAPSE Corlet Programming Language • Developer Works Support Communities • “Mini-Watsons” Toolkits for Teaching • Corlet Simulator – Online Video Lectures, Courses & Games – Great Minds Student Challenges  Access to Interaction (Second Level – Collaborations: Research & Experts): Subject Matter Experts (SME) to Work with Faculty Industry Coaches to Work with Students Collaboration on Journal Special Issues, Books, Case Studies Conference Sessions, Professional Association SIGs Research Grand Challenges  Access to Investment (Third Level – Change: Cognitive Enterprise & Regional Development): Competitively-Awarded Access to Advanced Watson APIs in the Cloud (e.g., SoftLayer) Competitively-Awarded Funding for Hardware, Faculty Awards and PhD Fellowships Co-Investment in Regional Transformation of Productivity & Creativity/Discovery 9 © 2014 IBM Corporation
  • 10. We Leverage Large Community of IBMers Who Work With Universities  300 University Partnership Executives; 140 in U.S.  300 Client Reps + 300 Managers Assigned to Universities with PEPs  500 members of the Global University Programs Team  University Technical Partnership Executives – being assigned now  150 University Technical Advocates assigned to key universities  1500 Members of University Ambassador Community  275 Members of University Recruiting Community  1150 Members of IBM on Campus Community  1000 Technical Leaders in Academy of Technology  >400,000 IBM employees worldwide, most are alumni, many with recent degrees and certifications from universities 10 © 2014 IBM Corporation
  • 11. Key Skills Needed for Cognitive Computing  Natural Language Processing (Watson)  Pattern Recognition (SyNAPSE)  Machine Learning (Watson & SyNAPSE)  Core Text Search and Analytics  Data Mining, Information Retrieval  Knowledge Representation and Reasoning  Neural Networks Cognition as a Service Academic Fields – Artificial Intelligence, Machine Learning, Natural Language Processing, Pattern Recognition, Text Search and Analytics, Speech and Image Processing, Computational Linguistics, Knowledge Representation and Reasoning, Information Retrieval and Management, Human Computer Interaction, Sensing and Actuation (Robotics), Social Intelligence, Mathematics, Statistics, Computer Science, Behavioral Science Emerging Academic Fields – Cognitive Computer Science, Cognitive Information Systems, Computational Neuroscience, Social Physics 11 © 2014 IBM Corporation
  • 12. Global University Programs: 6 R’s Faculty Awards 1.Research (Collaboration) Shared University Research Awards Open Collaborative Research Awards 2.Readiness (Skills) PhD Fellowships 3.Recruiting (Jobs) Student Contests 4.Revenue (Solutions) 5.Responsibility (Volunteers) 6.Regions (Smarter Cities, Startups and Workforce) Partnership Executive Program (PEP) 12 © 2014 IBM Corporation
  • 13. University Programs Experience Creating Skills Programs  Service Science – 2005  Smarter Planet, Smarter Cities – 2009  Business Analytics, Big Data - 2010  Data Management, Data Science – 2011  Cyber Security – 2012  Cloud Computing -2012  Digital Marketing – 2013  Cognitive Systems - 2014 13 © 2014 IBM Corporation