Industrial and Commercial Uses of Artificial Intelligence Michael
- Slides: 42
Industrial and Commercial Uses of Artificial Intelligence Michael Brost
Presentation Overview �History �Theory �Examples �Future
The Inspirations
The Turing Test �Man communicating with Man �Man communicating with Machine �http: //www. cleverbot. com/
John Mc. Carthy �Coined the term “Artificial Intelligence” �First Conference to discuss and debate AI
The Power of the Mind versus the Power of the Machine
CPU and Computer Performance �MIPS �SPEC �Linpack �FLOPS �STREAM
MIPS �MIPS – Million Instructions Per Second �Older way of calculating Speed �Controversial
Flops �Flops- Floating-Point Operations Per Second �(Cores x Clock x FLOPS)/Cycle � 1 Cycle ≈ 4 Flops
Man or Machine? � Titan • • Cray Inc. 18, 688 nodes 4, 352 sqft 17. 6 Petaflops
Man or Machine? �Unit • • • Multiples Kilo Mega Giga Tera Peta Exa
Man or Machine? � Titan • • • Cray Inc. 18, 688 nodes 4, 352 sqft 17. 6 Petaflops 2. 5 Million times faster! ~27 PFlops Potential
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)
Man or Machine? �Gordon 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
Man or Machine?
The Chinese Room Argument Example
The Chinese Room Argument �“Would the computer actually know what it was doing? ”
Uses In the World Today
Definition �The theory and development of computer systems able to perform tasks that normally require human intelligence.
Watson: Jeopardy
Watson: Jeopardy �Not hooked up to the internet �Downloaded many archives, encyclopedias and dictionaries to Watson �One Problem ….
Watson: Jeopardy �Language and context.
Watson: Jeopardy �Solution? • “Evidence Profile”
Page. Rank
Google’s Page Rank Algorithm � 1993 • First Web Search Engine • W 3 Catalog • Highly inefficient
Google’s Page Rank Algorithm � 1996 • Back. Rub • Stanford Servers • Larry Paige and Sergey Brin
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”
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. ”
Google’s Page Rank Algorithm �Page • • Rank Location Time Existed Pages linked to the Website Page Rank Checker
Stocks & Wall Street
A. I. in Wall Street �Rebellion Research • $7 million hedge fund • 6 employees �Mathematicians �Computer Science �Business Analysts
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
A. I. in Wall Street �“Star” Software Program �Collects stock data overnight • 4, 000+ stocks • 70 different countries
A. I. in Wall Street � 150 points of view � 12 different strategies �$7 to $15 million
Artificial Intelligence into the Future
AI in the Future �Cleaning up the environment �Improved security systems �Advanced medicine �Diagnosing conditions �….
�“It’s a bug that cars were invented before computers. ” Eric Schmidt Google Inc.
The Driverless Car
The Driverless Car
The Driverless Car
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
Questions
- Noncommercial food service
- Math and artificial intelligence
- Informed and uninformed search
- Pxdes
- Advantages of mycin expert system
- State space in ai
- Searching for solutions in artificial intelligence
- 15-780 graduate artificial intelligence
- Knowledge manipulation in artificial intelligence
- Structural knowledge in ai
- Colbert, stephen. home page. 1 nov. 2006.
- Kecerdasan kepemimpinan
- Artificial intelligence assessment
- Table driven agent in ai
- 15-780 graduate artificial intelligence
- Xkcd
- Fuzzy propositions in ai
- Cse 571 asu
- 15-780 graduate artificial intelligence
- What is artificial intelligence class 6
- Augmented grammar in artificial intelligence
- Omniscience in artificial intelligence
- Int 404
- Artificial intelligence class 8 chapter 3 solutions
- Semantic network in ai
- Difference between a star and ao star
- Artificial intelligence thesis proposals
- Rule based deduction system
- Inference by enumeration in artificial intelligence
- Learning in ai
- Chronological backtracking in depth first search involves
- Optimal decisions in games in artificial intelligence
- Hbr machine learning
- Cs 188
- Optimal decisions in games in artificial intelligence
- Athena machine learning
- Types of artificial intelligencel
- Inference in first order logic
- Ai is a branch of computer science
- Mobedic
- Conclusion of artificial intelligence
- Artificial intelligence applications institute
- Uninformed search