Industrial and Commercial Uses of Artificial Intelligence

1. Industrial and Commercial Uses of Artificial Intelligence Michael Brost

2. Presentation Overview History Theory Examples Future

3. The Inspirations

4. The Turing Test Man communicating with Man Man communicating with Machine http://www.cleverbot.com/

5. John McCarthy Coined the term “Artificial Intelligence” First Conference to discuss and debate AI

6. The Power of the Mind versus the Power of the Machine

7. CPU and Computer Performance MIPS SPEC Linpack FLOPS STREAM

8. MIPS MIPS – Million Instructions Per Second Older way of calculating Speed Controversial

9. Flops Flops- Floating-Point Operations Per Second (Cores x Clock x FLOPS)/Cycle 1 Cycle ≈ 4 Flops

10. Man or Machine? • Titan • Cray Inc. • 18,688 nodes • 4,352 sqft • 17.6 Petaflops

11. Man or Machine? • Unit Multiples • Kilo • Mega • Giga • Tera • Peta • Exa

12. Man or Machine? • Titan • Cray Inc. • 18,688 nodes • 4,352 sqft • 17.6 Petaflops • 2.5 Million times faster! • ~27 PFlops Potential

13. Man or Machine? • Titan • Cray Inc. • 18,688 nodes • 4,352 sqft • 17.6 Petaflops • .7-1.8% of a Human Mind • The Human Mind • 88.5 cubic cm • ~100 Billion Neurons • 1-2.5 Exaflops (1,000- 2,500 Petaflops)

14. Man or Machine? • Gordon Moore on Moore’s Law • “Number of transistors on integrated circuits would double every year for 10 years.” –Moore • “Number of transistors on integrated circuits would double every year 18 months for 10 years.” – Moore • “Computer performance would double every 18 months [due to increasing chip performance and technology].” – David House, 1975

15. Man or Machine?

16. The Chinese Room ArgumentExample

17. The Chinese Room Argument “Would the computer actually know what it was doing?”

18. Uses In the World Today

19. Definition The theory and development of computer systems able to perform tasks that normally require human intelligence.

20. Watson: Jeopardy

21. Watson: Jeopardy Not hooked up to the internet Downloaded many archives, encyclopedias and dictionaries to Watson One Problem ….

22. Watson: Jeopardy Language and context.

23. Watson: Jeopardy • Solution? • “Evidence Profile”

24. PageRank

25. Google’s Page Rank Algorithm • 1993 • First Web Search Engine • W3 Catalog • Highly inefficient

26. Google’s Page Rank Algorithm • 1996 • BackRub • Stanford Servers • Larry Paige and Sergey Brin

27. Google’s Page Rank Algorithm • 1997 & 1998 • Group acquires initial capital to “Google Inc.” • A play on words of “Googol” • 1 x 10 ^ 100 • Google breaks “Top 100 Web Site and Search Engines”

28. Google’s Page Rank Algorithm • Core Principles • “It’s best to do one thing really, really well.” • “Focus on the user and all else will follow.” • “You can make money without doing evil.”

29. Google’s Page Rank Algorithm • Page Rank • Location • Time Existed • Pages linked to the Website • Page Rank Checker

30. Stocks & Wall Street

31. A.I. in Wall Street • Rebellion Research • $7 million hedge fund • 6 employees • Mathematicians • Computer Science • Business Analysts

32. A.I. in Wall Street “It's pretty clear that human beings aren't improving, but computers and algorithms are only getting faster and more robust.” Spencer Greenberg Rebellion Research CEO

33. A.I. in Wall Street • “Star” Software Program • Collects stock data overnight • 4,000+ stocks • 70 different countries

34. A.I. in Wall Street 150 points of view 12 different strategies $7 to $15 million

35. Artificial Intelligence into the Future

36. AI in the Future Cleaning up the environment Improved security systems Advanced medicine Diagnosing conditions ….

37. “It’s a bug that cars were invented before computers.” Eric Schmidt Google Inc.

38. The Driverless Car

39. The Driverless Car

40. The Driverless Car

41. The Driverless Car • Numbers • 90% • Reduce the number of accidents by 90% • 90% • Reduce number of cars by 90% • 405 Billion • Save $405 Billion in revenue • 3 • 3 States have passed laws • 300,000 • 300,000 miles have been logged

42. Questions