• 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
- NYU Tandon School of Engineering
- NYU Tandon School of Engineering

... could analyze video of that same flock of birds, register the aligned motion, and embed the information on a low-dimensional manifold to visually display the properties of the group’s behavior. Thus, a high-dimensional quantitative data set would be represented in a single dimension—a line—mirroring ...
T E S I S:
T E S I S:

... measured voltage or current. ...
Applications of computer science in the life sciences
Applications of computer science in the life sciences

... A transition function which defines how states follow one another: P (s, a, s! ) = P r(st+1 = s! |st = s, at = a). A scalar reward function rt = R(s, a). Some policy π, such that at = π(st ). The policy may be either deterministic or stochastic. A discount factor, γ, which must be less than or equal ...
F2004
F2004

... Markov Chains: Introduction to stochastic systems and Markov chains, transition matrices, n-step transition probabilities, steady-state distribution, applications to inventory problems. ...
Computing - Carnegie Mellon School of Computer Science
Computing - Carnegie Mellon School of Computer Science

... The Binary Number System. The fact that once I become a computer scientist, I can financialy ruin Bill Gates to the point that Babygirl Gates has to go to community college. Since we are on the money subject, as tempting as most low wage, benefitless jobs are, I am opting for the big bucks of comput ...
Diagnosis as Planning Revisited: An Abridged Report
Diagnosis as Planning Revisited: An Abridged Report

... In the spirit of past contributions to the formal characterization of diagnosis (e.g., (Reiter, 1987; de Kleer et al., 1992)) this paper presents a formal characterization of diagnosis of discrete dynamical systems, appealing to the situation calculus. It then proceeds to establish a correspondence ...
call for special issue articles
call for special issue articles

... Science and technology has been growing rapidly in the world today, there is great need for scholarly work on its social dimensions. This special issue is dedicated towards bringing out the social aspect of research done in the area of science and technology. Key objectives of this special issue are ...
DOWN - Ubiquitous Computing Lab
DOWN - Ubiquitous Computing Lab

... What was troubling the robot was what roboticists called an equipotential of contradiction on the second level. Obedience was the Second Law and [the robot] was suffering from two roughly equal and contradictory orders. Robot- block was what the general population called it or, more frequently, robl ...
Paul Churchland`s Call for a Paradigm Shift in Cognitive Science
Paul Churchland`s Call for a Paradigm Shift in Cognitive Science

... computational process based on the manipulation of discrete symbols in accordance with a combinatorial syntax. The only way the brain can generate any one of the infinite set of possible human behavioral outputs is by resorting to recursive computational procedures such as the ones used in arithmeti ...
download
download

... small demonstration program written in Java (Java Applet), and a series of questions which are intended as an invitation to play with the programs and explore the possibilities of different algorithms. The aim of the applets is to illustrate the dynamics of different artificial neural networks. Emph ...
FUDAN BIWEEKLY
FUDAN BIWEEKLY

... Highly organized structure of NP superlattices makes it possible to research microstructure and morphology evolution of NP superlattices in process of embedding and taking off lithium, thus is significant in basic research. This research is funded by Startoff Funds of Fudan university, NSFC (Natural ...
ltheories
ltheories

... o Behaviorism- a term first used by John Watson, is a theory of animal and human learning that only focuses on objectively observable behaviors and discounts mental activities. ...
WEKA - WordPress.com
WEKA - WordPress.com

... 15 attribute/subset evaluators + 10 search algorithms for feature selection • 3 algorithms for finding association rules • 3 graphical user interfaces – “The Explorer” (exploratory data analysis) – “The Experimenter” (experimental environment) – “The KnowledgeFlow” (new process model interface) ...
Singularity
Singularity

... regions (out of several hundred) of the brain ...
Gardner’s EIGHT INTELLIGENCES
Gardner’s EIGHT INTELLIGENCES

... • is the ability to use one's mental abilities to coordinate one's own bodily movements. This intelligence challenges the popular belief that mental and physical activity are unrelated. • The ability to use your body skillfully to solve problems, create products or present ideas and emotions. • An a ...
Nets vs. Symbols
Nets vs. Symbols

... Concurrent with this however, has been another line of research which uses machines whose architecture is loosely based on that of the animal brain, and which learn from a training environment, rather than pre-existing programs in some high level computer language. Work with these so-called neural n ...
Neural Networks - Temple Fox MIS
Neural Networks - Temple Fox MIS

... Predict the taste of Coors beer as a function of its chemical composition ...
Artificial Neural Networks
Artificial Neural Networks

... • An input is fed into the network and the output is being calculated. • We compare the output of the network with the target output, and we get the error. • We want to minimize the error, so we greedily adjust the weights such that error for this ...
Intro to Computer Algorithms Lecture 6
Intro to Computer Algorithms Lecture 6

... University of Alabama ...
Learning about Learning - by Directly Driving Networks of Neurons
Learning about Learning - by Directly Driving Networks of Neurons

... desired behavior? Why does that learning process take time? To tackle questions like these, we reverse the normal order of operations in systems neuroscience: instead of teaching animals a new behavior and then searching for its neural correlate, we specify a neural activity pattern and then through ...
Deep Blue - UMBC CSEE
Deep Blue - UMBC CSEE

... • chess problem “sharply defined” • First chess-playing machine: 1760’s Maezal Chess Automaton ...
Sansible Wearables Presentation  - IEEE-SA Start
Sansible Wearables Presentation - IEEE-SA Start

... Eirini Komninou. CTO. PhD in applied artificial intelligence for space engineering. ...
Artificial Brain www.AssignmentPoint.com Artificial brain (or artificial
Artificial Brain www.AssignmentPoint.com Artificial brain (or artificial

... AI. In his book The Singularity is Near he focuses on whole brain emulation using conventional computing machines as an approach to implementing artificial brains, and claims (on grounds of computer power continuing an exponential growth trend) that this could be done by 2025. Henry Markram, directo ...
Herbert A. Simon - History Committee archive
Herbert A. Simon - History Committee archive

... understanding processes. The dissertation of his student Laurent Sikl6ssy demonstrated a model that learned language by matching linguistic sentences with their semantic interpretations. This and related work was collected in Simon and Siklössy (eds.), 1972. With John R. Hayes, Simon built the UNDER ...
Neural Network Slides
Neural Network Slides

... network A mathematical model that attempts to mine, predict, and forecast data Provides Artificial Intelligence (AI) ...
< 1 ... 26 27 28 29 30 31 32 33 34 ... 37 >

Artificial intelligence

Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior. Major AI researchers and textbooks define this field as ""the study and design of intelligent agents"", in which an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as ""the science and engineering of making intelligent machines"".AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects. General intelligence is still among the field's long-term goals. Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. The AI field is interdisciplinary, in which a number of sciences and professions converge, including computer science, mathematics, psychology, linguistics, philosophy and neuroscience, as well as other specialized fields such as artificial psychology.The field was founded on the claim that a central property of humans, human intelligence—the sapience of Homo sapiens—""can be so precisely described that a machine can be made to simulate it."" This raises philosophical issues about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been addressed by myth, fiction and philosophy since antiquity. Artificial intelligence has been the subject of tremendous optimism but has also suffered stunning setbacks. Today it has become an essential part of the technology industry, providing the heavy lifting for many of the most challenging problems in computer science.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report