Ijcai nyc ai summit 20140224 v1

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© 2014 IBM Corporation

Theme 3: Strong AI, Integrated AI, Open AI, Challenges

Jim Spohrer, Director Global University Programs and Cognitive Systems InstituteFebruary 2014

© 2014 IBM Corporation2

New Era of Computing

Watson – Analytic 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

SyNAPSE – Intuitive Cognition– 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

Rapidly Evolving Cognitive Systems Architectures

Cognition as a Service


Grand Challenges

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

Data Sets, Tools & Services



Challenges

Strong AIIntegrated AI

Open AISub-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)

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Back up


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)?


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

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

BORO Method(http://en.wikipedia.org/wiki/BORO_method)

- Entities- Set of Entities- Relations


IBM University Programs: Cognitive Systems Offerings & LevelsResources 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 FacultyIndustry Coaches to Work with StudentsCollaboration on Journal Special Issues, Books, Case StudiesConference Sessions, Professional Association SIGsResearch 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 FellowshipsCo-Investment in Regional Transformation of Productivity & Creativity/Discovery


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 degreesand certifications from universities


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

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



Global University Programs: 6 R’s

1.Research (Collaboration)

2.Readiness (Skills)

3.Recruiting (Jobs)

4.Revenue (Solutions)

5.Responsibility (Volunteers)

6.Regions (Smarter Cities, Startups and Workforce)

Faculty Awards

Shared University Research Awards

Open Collaborative Research Awards

PhD Fellowships

Student Contests

Partnership Executive Program (PEP)


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

Ijcai nyc ai summit 20140224 v1

Education

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