• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Chapter 4
Chapter 4

... Open, collaborative meeting atmosphere Criticism-free idea generation Evaluation objectivity Idea organization and evaluation Setting priorities and making decisions Documentation of meetings Access to external information ...
Chapter 4
Chapter 4

... Open, collaborative meeting atmosphere Criticism-free idea generation Evaluation objectivity Idea organization and evaluation Setting priorities and making decisions Documentation of meetings Access to external information ...
CS 231 - Introduction to Artificial Intelligence
CS 231 - Introduction to Artificial Intelligence

... CS 231/CMPE 231 : Introduction to Artificial Intelligence (4 Units) ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

... into the bins, locate and read barcodes under water, knock off blinking lights, etc ...
Introduction - Cornell Computer Science
Introduction - Cornell Computer Science

... Knowledge Representation – to store and manipulate information (logical and probabilistic representations) Automated reasoning / Inference – to use the stored information to answer questions and draw new conclusions Machine Learning – intelligence from data; to adapt to new circumstances and to dete ...
CS 4700: Foundations of Artificial Intelligence
CS 4700: Foundations of Artificial Intelligence

... Natural Language Processing – to communicate with the machine Computer Vision --- processing visual information Robotics --- Autonomy, manipulation, full integration of AI ...
Artificial Intelligence and Robotics
Artificial Intelligence and Robotics

... computer chess and other video games. Artificial Intelligence has come a long way from its early roots, driven by dedicated researchers This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or ef ...
Intelligent Systems - Teaching-WIKI
Intelligent Systems - Teaching-WIKI

... • Ontology: Ontology is the study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. Emphasis on ontology begins in the 1990s. • Heuristics: A heuristic is a way of trying to ...
January 2012 Research workshop at Ateneo de Manila Universityhot!
January 2012 Research workshop at Ateneo de Manila Universityhot!

... definition of artificial intelligence within games. All games are divided into two categories: perfect games and imperfect games. Game developers need to apply an appropriate game AI engine to maximize the user’s game experience in both types of games. Each AI engine is deigned to respond and react ...
Artificial Inelegance and Robotics
Artificial Inelegance and Robotics

... can adapt to some extent, as well as score up to 150 on a non-verbal IQ test ...
16 - MIT Computer Science and Artificial Intelligence Laboratory
16 - MIT Computer Science and Artificial Intelligence Laboratory

... 16.412J/6.834J Intelligent Embedded Systems Description: Algorithms and paradigms for developing embedded systems that are able to operate autonomously for years at a time within harsh and uncertain environments. Focus on systems that demonstrate high levels of deduction and adaptation. Draws upon a ...
What is Artificial Intelligence?
What is Artificial Intelligence?

... founders of AI met: John McCarthy, Marvin Minsky, Alan Newell, and Herbert Simon. ...
Lesson 6: Telemedicine
Lesson 6: Telemedicine

... examples of humans using the above factors to better understand the ...
Vasile Alecsandri” University of Bac˘au Faculty of Sciences Scientific
Vasile Alecsandri” University of Bac˘au Faculty of Sciences Scientific

Artificial Intelligence
Artificial Intelligence

... Image processing or computer vision is an area of AI that deals with the perception of objects through the artificial eyes of an agent, such as a camera. An image processor takes a two-dimensional image from the outside world and tries to create a description of the three-dimensional objects present ...
Powerpoint
Powerpoint

... Because these trees are so large, only a fraction of the tree can be analyzed in a reasonable time limit, ...
textbook slides
textbook slides

... Because these trees are so large, only a fraction of the tree can be analyzed in a reasonable time limit, ...
PPT
PPT

... • History of AI is commonly supposed to begin with Turing’s 1950 discussions of machine intelligence and to have been defined as a field at the 1956 Dartmouth Summer Research Project on Artificial Intelligence – But ideas on which AI is based, symbolic AI in particular, have a very long history in t ...
Q. What is artificial intelligence?
Q. What is artificial intelligence?

... Helped to found theoretical CS – 1936, before digital computers existed ...
Artificial Intelligence and Intelligent Systems Research in Chile.
Artificial Intelligence and Intelligent Systems Research in Chile.

... 1 Introduction In 1947 Alan Turing predicted that there would be intelligent computers by the end of the century. Hence he proposed an intelligence test which allows us to assess a machine as intelligent in his classic 1950 article "Can a machine think?". The term Artificial Intelligence (AI) arose ...
I Had a Dream: AAAI Presidential Address, 19 August 1985
I Had a Dream: AAAI Presidential Address, 19 August 1985

... selected AI as their preferred field of study. This preference for AI seems to be duplicated throughout the world, and we are talking about some of the very best students. These young people hold in their hands the future of this discipline. The power and influence of the earlier pioneers will wane ...
Read the full article here
Read the full article here

... when a robot will be better than we think, in the same way as other machines have become stronger or quicker than us? Have we ever replaced a machine that has replaced a human?”, Wozniak asked when interviewed by Swedish newspaper Dagens Nyheter. Wozniak is supported by University of Oxford philosop ...
The Artificial Intelligence section of LIKS (member of European
The Artificial Intelligence section of LIKS (member of European

... The Artificial Intelligence section of LIKS (member of European Coordinating Committee for Artifical Intelligence, ECCAI) Artificial Intelligence section of Lithuanian Computer Society (LIKS-AIS) currently has about 20 members, mainly in Vilnius and Kaunas. LIKS-AIS is the main coordinating center f ...
Intorduction to Artificial Intelligence Prof. Dechter ICS 270A
Intorduction to Artificial Intelligence Prof. Dechter ICS 270A

... founders of AI met: John McCarthy, Marvin Minsky, Alan Newell, and Herbert Simon. ...
CentimentWhitePaperMachineEthics.pase.comments
CentimentWhitePaperMachineEthics.pase.comments

... would be that these entities behaved that way because that's how they were trained to behave, by you, their legal owner. This argument would effectively reverse the case and put you in a legal actus reus position against yourself, more over if these devices were offline at the time of the offense/ma ...
< 1 ... 202 203 204 205 206 207 208 209 210 ... 241 >

History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report