artificialintelligencefinal2-121004164350-phpapp02 (2).pdf
- 1. Presented By: Kathryn Fitzpatrick, Matt Nieusma, and Fabrizio Lepiz
- 2. “The ability of a digital computer or computer controlled robot to perform tasks commonly associated with intelligent beings.” What is Artificial Intelligence
- 3. History of Artificial Intelligence The idea of AI goes as far back as ancient Greece. Greek myths speak of Hephaestus, a blacksmith who created mechanical servants. This is one of many examples.
- 4. History of Artificial Intelligence Fast forward to 1935, when the earliest substantial work in this field was done by AlanTuring, a logician and computer pioneer. • Turing Machine 1951: Christopher Strachey wrote the first successful AI program • Computer checkers program 1956: John McCarthy coined the term Artificial Intelligence 1963: ANALOGY, a program created by Thomas Evans, proved that computers can solve IQ test analogy problems
- 5. History of Artificial Intelligence 1967: First successful knowledge-based program in science and mathematics 1972: SHRDLU created by Terry Winograd • Robot arm responded to commands 1987: Marvin Minsky publishes The Society of Mind, which portrays the brain as a series of cooperating agents 1997: A chess program, Deep Blue, beats the current world chess champion, Gary Kasparov 2000’s: Interactive robot smart toys are made commercially available
- 6. • IBM’s Watson • Driver-less Transportation • Automated Assembly Lines and Dangerous Jobs • Surgery Aid Robots • Next-Generation Traffic Control WhereWe AreToday?
- 7. • IBM’sWatson is currently being put to work in healthcare and finance Watson’s Capabilities: • Natural language processing - to help understand the complexities of unstructured data which makes up as much as 90% of the data in the world today • Hypothesis generation and evaluation - by applying advanced analytics to weight and evaluate a panel of responses based on only relevant evidence • Evidence-based learning - to improve based on outcomes to get smarter with each iteration and interaction Watson in Medicine • Watson can incorporate treatment guidelines, electronic medical record data, doctor's and nurse's notes, research, clinical studies, journal articles, and patient information in order to better inform the doctor of a proper diagnosis Watson in Finance • capable of performing deep content analysis and evidence-based reasoning to accelerate and improve decisions, reduce operational costs, and optimize outcomes. IBM’sWatson
- 9. • Google has been investing in a driverless car, and has completed over 480,000 autonomous-driving miles accident-free. • Through the use of cameras, sensors and special software built into vehicles manufacturers have been able to build cars that park themselves at the touch of a button. • Driverless trains carry passengers from city to city in Japan without the need for human help. • Google’s driverless car relies on lasers and sensors to spot obstacles, interpret signs and interact with traffic and pedestrians. • Artificial intelligence takes away the responsibility from the drivers, and also eliminates the danger of distracted driving and boasts a reaction time much faster than that of any human. DriverlessTransport
- 10. • Cedars-Sinai Medical Center relies on special software to examine the heart and stop heart attacks before they occur • Artificial muscles feature smart technology that allows them to function more like real muscles. • Penelope, a Robotic Surgery Assistant developed at Columbia University can not only pass the correct tools to doctors, but also keep track of these tools and learn about a doctor's preferences through artificial intelligence. • The most advanced surgical robots are programmed to perform the entire surgery on their own, except for the suturing or the cutting. In these operations, a surgeon stands by just in case something goes wrong. • Miniature intelligent robots are being developed for eye surgeries. Surgical Aid Robots
- 11. • Some countries have put smart robots to work disabling land mines and handling radioactive materials in order to limit the risk to human workers. • Ford is using an Artificial Intelligence based approach for vehicle assembly process planning, ergonomics analysis, and a system that uses machine translation to translate assembly-build instructions for assembly plants that don't use English. • Other Companies such as GM have developed robots with Artificial Intelligence techniques to inspect cars made by humans Automated Assembly Lines and Dangerous Jobs
- 12. • Artificial Intelligence in traffic lights seeks to improve the efficiency of traffic flow, hence improving road space utilization, reducing journey times and potentially, improving fuel efficiency, as well as reducing the impact of cars on the road. • In the future, they want to create a traffic control system that thinks like a human in directing traffic. • “We can consider a future where all vehicles are equipped with WiFi and GPS and can transmit their positions to signalized junctions.This opens the way to the use of artificial intelligence approaches to traffic control such as machine learning." Next GenerationTraffic Control
- 14. Future of A.I. Right now, A.I. is at level comparable to less intelligent animals or insects. Is it possible to go farther, to reach human intelligence? “Cognitivists”, who believe the human conscious can be simulated, and “anti- cognitivists” who believe it to be impossible.
- 15. Future of A.I. 2050: Estimated date of the emergence of the Singularity, or greater-than-human super-intelligence. At this point, it’s thought that certain machines will exceed the human brain in terms of intelligence It’s believed that this breakthrough will lead to a rapid advancement in technology, as super intelligent A.I. designs new computers and machines at a rate no human could
- 16. Strong A.I. Strong A.I. is intelligence that matches or exceeds that of human intelligence Ultimate goal of A.I. research Weak A.I. is narrow/more focused than strong A.I. Whole Brain emulation- Mapping and re-creating the human brain through neuro- imaging
- 17. What CouldThis Mean for I.S? If the singularity is reached, and an age of rapid technological advancement occurs, IS and many technologies will be in a dynamic era Companies will have to constantly change to keep up with the rapid pace of technology It’s probable that every successful company involved in technology will need their own A.I.
- 18. Problems with A.I. One basic problem lies in the question of what intelligence is exactly. How can we recreate a learning, thinking mind with technology? Is it even possible? Some do not think so. David Gelernter, aYale professor, says A.I. is “lost in the woods”.
- 19. Problems with A.I. What is the human conscious? Gelernter argues that we can’t construct a conscious A.I. without even knowing what exactly the conscious is. “Without this cognitive continuum, AI has no comprehensive view of thought: it tends to ignore some thought modes (such as free association and dreaming), is uncertain how to integrate emotion and thought, and has made strikingly little progress in understanding analogies--which seem to underlie creativity.”
- 20. Problems with A.I. Scientists need to figure out the “algorithms of thought”, basically a way to mathematically simulate the human thought process. The human brain relies on chemistry and physics of different molecules in order to function. How could scientists ever replicate this process?
- 21. • Do you believe that A.I. should be taken any further? • Is A.I interfering with religion? Are we playing God? • If machines can be made to think like us, then what do you think sets us apart as humans? At what point is a machine considered life? • If we were to create intelligent beings, what kind of rights would they be given? Should they even be given rights? Questions