CPS 270 (Artificial Intelligence at Duke): Introduction
... – Theoretical computer science, statistics, economics, operations research, biology, psychology/neuroscience, … – Often leads to question “Is this really AI”? ...
... – Theoretical computer science, statistics, economics, operations research, biology, psychology/neuroscience, … – Often leads to question “Is this really AI”? ...
Deep Learning for Natural Language Processing
... intuitivity of natural language makes it a definite contender for interacting with smart appliances, if not robots, that will flood the market in the forecoming future. Mastering natural language processing will become increasingly important for engineers to process the huge quantity of interactions ...
... intuitivity of natural language makes it a definite contender for interacting with smart appliances, if not robots, that will flood the market in the forecoming future. Mastering natural language processing will become increasingly important for engineers to process the huge quantity of interactions ...
Difference-Imaging of Undersampled Data - IPAC
... Cannot interpolate between pixels because there is insufficient information present to reconstruct a stellar PSF. Each star in an image has a different effective PSF that depends on its subpixel location. The convolution kernel required to map one image to another is different for every star. ...
... Cannot interpolate between pixels because there is insufficient information present to reconstruct a stellar PSF. Each star in an image has a different effective PSF that depends on its subpixel location. The convolution kernel required to map one image to another is different for every star. ...
Chapter 4 Notes
... • Native Perception: A perceptual experience based on innate processes • Empirical Perception: A perception based on prior experience • Shape Constancy: The perceived shape of an object unaffected by changes in its retinal image • Brightness Constancy: Apparent brightness of an object stays the same ...
... • Native Perception: A perceptual experience based on innate processes • Empirical Perception: A perception based on prior experience • Shape Constancy: The perceived shape of an object unaffected by changes in its retinal image • Brightness Constancy: Apparent brightness of an object stays the same ...
Document
... because one way to act rationally is to reason logically to the conclusion that a given action will achieve one's goals, and then to act on that conclusion. On the other hand, correct inference is not all of rationality, because there are often situations where there is no provably correct thing to ...
... because one way to act rationally is to reason logically to the conclusion that a given action will achieve one's goals, and then to act on that conclusion. On the other hand, correct inference is not all of rationality, because there are often situations where there is no provably correct thing to ...
Images as Links
... requests (http keep-alive) to server for images. • If width and height are not specified, browser has to wait until it receives the images before continuing page layout. • If width and height are specified, browser can continue with layout, drawing empty boxes for images before they arrive. • In gen ...
... requests (http keep-alive) to server for images. • If width and height are not specified, browser has to wait until it receives the images before continuing page layout. • If width and height are specified, browser can continue with layout, drawing empty boxes for images before they arrive. • In gen ...
NEW TRENDS IN NEUROCYBERNETICS
... and observing, for they give us hope that following the very successful, but by now considerably overused, paradigm of neuron networks, there will come into being (on their basis) a new tool for the intelligent analysis of data. Taking into consideration the still considerable distance that separate ...
... and observing, for they give us hope that following the very successful, but by now considerably overused, paradigm of neuron networks, there will come into being (on their basis) a new tool for the intelligent analysis of data. Taking into consideration the still considerable distance that separate ...
Courses
... The course also covers the following bodies of knowledge: Phenomena of real world systems, different imposed boundary conditions as well as symbolic systems manipulations and analysis. CC 742 – Real-Time Systems Cr.3. Real-time systems are characterized by the fact that it is not only the result of ...
... The course also covers the following bodies of knowledge: Phenomena of real world systems, different imposed boundary conditions as well as symbolic systems manipulations and analysis. CC 742 – Real-Time Systems Cr.3. Real-time systems are characterized by the fact that it is not only the result of ...
Artificial Intelligence (AI) - PAC-ITGS
... memory, smell, feelings, and time, we can see that it will take high processing power to create an equivalently powerful artificial mind. ...
... memory, smell, feelings, and time, we can see that it will take high processing power to create an equivalently powerful artificial mind. ...
the PowerPoint - Terasem Movement, Inc.
... uploading humans via various methods -- why not experiment with “uploading” intelligent software programs first? How much can we change the – Embodiment – Environment – Capability set ...
... uploading humans via various methods -- why not experiment with “uploading” intelligent software programs first? How much can we change the – Embodiment – Environment – Capability set ...
CA3D 101 Midterm, spr 2005
... 12) Bi-pack matte means: a. film that is exposed twice with a matte b. a background matte painting on glass with the actors in the clear parts c. two pieces of film run through the projector together, one is a matte d. two different mattes -- one for the foreground, the other for the background 13) ...
... 12) Bi-pack matte means: a. film that is exposed twice with a matte b. a background matte painting on glass with the actors in the clear parts c. two pieces of film run through the projector together, one is a matte d. two different mattes -- one for the foreground, the other for the background 13) ...
Document
... The Simple Genetic Algorithm 1. Generate an initial random population of M individuals (i.e. programs or solutions) 2. Repeat for N generations 1. Calculate a numeric fitness for each individual 2. Repeat until there are M individuals in the new population ...
... The Simple Genetic Algorithm 1. Generate an initial random population of M individuals (i.e. programs or solutions) 2. Repeat for N generations 1. Calculate a numeric fitness for each individual 2. Repeat until there are M individuals in the new population ...
1. Artificial Intelligence
... scientific community. They predicted that, at their rate of advancement, computers would be functioning at or above the level of a human being by the 1980s. AI’s greatest accomplishments came along in the 90s due to major strides in computer technology. These included IBM’s “Deep Blue” computer beat ...
... scientific community. They predicted that, at their rate of advancement, computers would be functioning at or above the level of a human being by the 1980s. AI’s greatest accomplishments came along in the 90s due to major strides in computer technology. These included IBM’s “Deep Blue” computer beat ...
State graph
... Syntactic analysis(subject,verb, noun) Semantic analysis(identify actions) Contextual analysis(understanding) --The bat flew from his hand. Entire database Information retrieval(web searching) Information extraction(template) ...
... Syntactic analysis(subject,verb, noun) Semantic analysis(identify actions) Contextual analysis(understanding) --The bat flew from his hand. Entire database Information retrieval(web searching) Information extraction(template) ...
Chapter 5: Input and Output
... Differentiate among different kinds of printers Explain the function of a computer terminal and describe the types of terminals Describe the ethical considerations involved in handling computer data ...
... Differentiate among different kinds of printers Explain the function of a computer terminal and describe the types of terminals Describe the ethical considerations involved in handling computer data ...
Evolution, Sociobiology, and the Future of Artificial Intelligence
... general intelligence. The Conference on Innovative Applications of Artificial Intelligence showcases such work. Expert systems and cHess programs are prime examples. • Autonomous robots. The most ambitious version of this goal would be Turing Test AI plus perception, learning, and action. More proba ...
... general intelligence. The Conference on Innovative Applications of Artificial Intelligence showcases such work. Expert systems and cHess programs are prime examples. • Autonomous robots. The most ambitious version of this goal would be Turing Test AI plus perception, learning, and action. More proba ...
Organisation
... 8. TeiMD:A semi-automatic framework for muscle fiber image analysis 9. FreeTm (free Topic Map editor in the web) http://sourceforge.net/projects/freetm Interests: The following are topics of interest, either being currently involved in or being interested in and capable of carrying out research and ...
... 8. TeiMD:A semi-automatic framework for muscle fiber image analysis 9. FreeTm (free Topic Map editor in the web) http://sourceforge.net/projects/freetm Interests: The following are topics of interest, either being currently involved in or being interested in and capable of carrying out research and ...
Artificial Intelligence - Academic Science,International Journal of
... ROBOTICS is also one field within artificial intelligence which involves mechanical, usually computer-controlled devices to perform tasks that require extreme precision or tedious or hazardous work by people. Traditional Robotics uses Artificial Intelligence planning techniques to program robot beha ...
... ROBOTICS is also one field within artificial intelligence which involves mechanical, usually computer-controlled devices to perform tasks that require extreme precision or tedious or hazardous work by people. Traditional Robotics uses Artificial Intelligence planning techniques to program robot beha ...
IAI : The Roots, Goals and Sub
... This module will build up a good background in AI as follows: 1. We shall start by looking at intelligence in humans, at how we go about studying human behaviour, and how we try to model/copy their neural processing. 2. Then we’ll consider intelligent agents at higher levels of abstraction, and see ...
... This module will build up a good background in AI as follows: 1. We shall start by looking at intelligence in humans, at how we go about studying human behaviour, and how we try to model/copy their neural processing. 2. Then we’ll consider intelligent agents at higher levels of abstraction, and see ...
texmodel
... Texture What is texture? broadly: a multidimensional signal obeying some statistical properties (but note: properties of interest are viewer-dependent!) more narrowly: an image that looks approximately the same, to humans, from neighborhood to neighborhood ...
... Texture What is texture? broadly: a multidimensional signal obeying some statistical properties (but note: properties of interest are viewer-dependent!) more narrowly: an image that looks approximately the same, to humans, from neighborhood to neighborhood ...
Computer vision
Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner.As a technological discipline, computer vision seeks to apply its theories and models to the construction of computer vision systems.Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object recognition, object pose estimation, learning, indexing, motion estimation, and image restoration.