Closing Event - Watson Innovation Course
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Closing Event - Watson Innovation Course
- 1. Lora Aroyo @laroyo http://lora-aroyo.org Turning Sci-Fi into Reality Lora Aroyo
- 2. Lora Aroyo @laroyo http://lora-aroyo.org Sci-Fi in 60’s, 70’s & 80’s
- 3. Lora Aroyo @laroyo http://lora-aroyo.org Sci-Fi in 2002
- 4. Lora Aroyo @laroyo http://lora-aroyo.org Sci-Fi in 2013
- 5. Lora Aroyo @laroyo http://lora-aroyo.org Sci-Fi in 2015
- 6. Lora Aroyo @laroyo http://lora-aroyo.org Turning Sci-Fi into Reality
- 7. Lora Aroyo @laroyo http://lora-aroyo.org scientific challenge in 1997
- 8. Lora Aroyo @laroyo http://lora-aroyo.org chess finite, mathematically well-defined search space limited number of moves & states grounded in explicit, unambiguous math rules
- 9. Lora Aroyo @laroyo http://lora-aroyo.org IBM Confidential scientific challenge in 2011
- 10. Lora Aroyo @laroyo http://lora-aroyo.org IBM Confidential natural language ambiguous, contextual & implicit grounded only in human cognition infinite number of ways to express same meaning
- 11. Lora Aroyo @laroyo http://lora-aroyo.org http://lora-aroyo.org @laroyo 11 keeps expanding to new domains
- 12. Lora Aroyo @laroyo http://lora-aroyo.org
- 13. Lora Aroyo @laroyo http://lora-aroyo.org http://lora-aroyo.org @laroyo 13
- 14. Lora Aroyo @laroyo http://lora-aroyo.org 1. Expand “EXPANDs human cognition - makes the jobs we do easier, like a cognitive prosthesis. Especially when dealing with processing massive data, or data that requires human interpretation”
- 15. Lora Aroyo @laroyo http://lora-aroyo.org “LEARNs as you use it – most machine errors are easy for a human to detect. We can instrument usage of systems to better understand the system and the problem it solves” 2. Learn
- 16. Lora Aroyo @laroyo http://lora-aroyo.org “INTERACTs naturally - bringing machines closer to their users by letting them understand natural language, spoken or written, be able to process images & videos. These simple human problems are extremely complex for machines, but are hallmarks of a new computing era.” 3. Interact
- 17. Lora Aroyo @laroyo http://lora-aroyo.org ▪ A new software paradigm has emerged – Increasingly, computational tasks require inexact solutions that combine multiple methods in unpredictable ways ▪ Knowledge is not the destination – Watson does not answer a question by translating natural language input into formally represented knowledge and simply running queries against this knowledge ▪ Machine intelligence is not human intelligence – The difference is most notable in the mistakes they make When Building Cognitive Computing Systems … http://www.yovisto.com/video/19674 Chris Welty’s keynote at WWW2012
- 18. Lora Aroyo @laroyo http://lora-aroyo.org Cognitive Systems can fail and still be useful A dramatic shift for software systems Focus on improvement, not perfection We must be able to answer, “Is it better?” Cognitive Computing: It’s OK to be wrong!
- 19. Lora Aroyo @laroyo http://lora-aroyo.org Cognitive Systems Engineering Pillars MEASURE MEASURE MEASURE DATA DATA DATA TRUTH TRUTH TRUTH
- 20. Lora Aroyo @laroyo http://lora-aroyo.org Cognitive Systems Engineering Pillars MEASURE MEASURE MEASURE DATA DATA DATA TRUTH TRUTH TRUTH They define the system. If you change one of them, the system should change
- 21. Lora Aroyo @laroyo http://lora-aroyo.org Winning Human Performance 2007 QA Computer System Grand Champion Human Performance Top human players are remarkably good. Each dot – actual historical human Jeopardy! games More Confident Less Confident What it Takes to compete against Top Human Jeopardy! Players Our Analysis Reveals the Winner’s Cloud
- 22. Lora Aroyo @laroyo http://lora-aroyo.org 2007 QA Computer System In 2007, we committed to making a Huge Leap! Computers? Not So Good. Winning Human Performance Grand Champion Human Performance What it Takes to compete against Top Human Jeopardy! Players Our Analysis Reveals the Winner’s Cloud Each dot – actual historical human Jeopardy! games More Confident Less Confident
- 23. Lora Aroyo @laroyo http://lora-aroyo.org Precision % of Answered Deep QA: Incremental Progress 6/2007-11/2010 Now Playing in the Winners Cloud 11/2010 04/2010 10/2009 5/2009 12/2008 8/2008 5/2008 12/2007 Baseline
- 24. Lora Aroyo @laroyo http://lora-aroyo.org … and WATSON won
- 25. Lora Aroyo @laroyo http://lora-aroyo.org Watch… Day 2 (15 Feb 2011) Day 1 (14 Feb 2011) Also on YouTube: https://www.youtube.com/watch?v=i-vMW_Ce51w
- 26. Lora Aroyo @laroyo http://lora-aroyo.org Crowd-Watson team 2013 http://lora-aroyo.org @laroyo 26
- 27. Lora Aroyo @laroyo http://lora-aroyo.org CrowdTruth team growing, 2014 http://lora-aroyo.org @laroyo 27
- 28. Lora Aroyo @laroyo http://lora-aroyo.org http://lora-aroyo.org @laroyo 28
- 29. Lora Aroyo @laroyo http://lora-aroyo.org http://lora-aroyo.org @laroyo 29
- 30. Lora Aroyo @laroyo http://lora-aroyo.org
- 31. Lora Aroyo @laroyo http://lora-aroyo.org Crowd-Watson 2015
- 32. Lora Aroyo @laroyo http://lora-aroyo.org http://crowdtruth.org