• 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
Kristin Völk – Curriculum Vitae
Kristin Völk – Curriculum Vitae

... (German Federal Ministry of Education and Research) at the “Hannover Messe Industrie” Since 2008 Judge for the German young scientist contest “Jugend forscht” ...
Neural Networks
Neural Networks

... Since we are interested in creating artificial intelligence in systems, it is reasonable that we would attempt to mimic the human brain The concept of an artificial neuron has been around since at least 1943 This type of field is usually described as artificial neural networks (ANNs), connectionism, ...
Networks of Neurons (2001)
Networks of Neurons (2001)

... mechanisms for the Hodgkin-Huxley equation, and this notion of channels extends to synaptic transmission. The action of a synapse depends on both transmitter released presynaptically, and specialized receptors in the postsynaptic ...
Artificial Intelligence and Artificial Consciousness
Artificial Intelligence and Artificial Consciousness

... • this would be in contrast with purely cognitive systems, even ones with highly complex features – (No one ever suggested that we should care for the wellbeing of GOFAI or ANN systems) – SO This mey be another way to show how our phenomenological notions may be much more closely tied to ethical one ...
Slides.
Slides.

... • It’s unlikely that pure mathematical thinking / modeling would have led us to the discovery of these phenomena. • In fact, to understand real-world CPs (which are everywhere!), we argue that the empirical study of phenomena followed by rigorous models and analysis is a sine qua non for the advance ...
Slides - Department of Computer Science
Slides - Department of Computer Science

... • It’s unlikely that pure mathematical thinking / modeling would have led us to the discovery of these phenomena. • In fact, to understand real-world CPs (which are everywhere!), we argue that the empirical study of phenomena followed by rigorous models and analysis is a sine qua non for the advance ...
The Cognitive Process and Formal Models of Human Attentions
The Cognitive Process and Formal Models of Human Attentions

... and sense of motion (Wang, 2009c). Attention is supported by lower layer functions such as those at the sensation, action, and memory layers. It also intensively interacts with higher layer life functions and mental processes in the brain such as the meta-cognitive, inference, and complex cognitive ...
Joint Regression and Linear Combination of Time
Joint Regression and Linear Combination of Time

... mB = i=1 di . Steps 3 up to 9 find all these solutions from a generalized eigenvalue problem which is constructed from exploiting the structure of the canonical kernel. The canonical kernel K is a n-variate Vandermonde matrix. It consists of columns of monomials, ordered according to the chosen mono ...
Imitating the Brain with Neurocomputer A New Way towards Artificial
Imitating the Brain with Neurocomputer A New Way towards Artificial

... For a long time, making intelligent machines has been a big dream of our human beings. From the early days of the conventional computer, it is regarded as a such platform. For example, the proposal for the Dartmouth summer meeting on artificial intelligence (AI) in 1956 claimed that[1] as the speeds ...
Foundations of Boundedly Rational Choices and Satisficing
Foundations of Boundedly Rational Choices and Satisficing

... Italy ...
here. - University of Sussex
here. - University of Sussex

... • SHC works on simple problems • RL is a sophisticated kind of SHC • In order for RL/SHC to work, action/value representations must fit the problem domain. ...
Artificial Intelligence
Artificial Intelligence

... Among its many world-wide effects, the El Niño phenomenon can sometimes lead to a split jet stream over North America. It is also known that split jet streams can lead to wetter winters in the Southwest US. They have also been known to cause drier winters in the Northwest US. Some relevant numbers a ...
Artificial Intelligence
Artificial Intelligence

... Among its many world-wide effects, the El Niño phenomenon can sometimes lead to a split jet stream over North America. It is also known that split jet streams can lead to wetter winters in the Southwest US. They have also been known to cause drier winters in the Northwest US. Some relevant numbers a ...
From Keyword-based Search to Semantic Search, How Big Data
From Keyword-based Search to Semantic Search, How Big Data

... • Semantic Search focuses on understanding the meaning behind the search keywords. • Semantic Search at CB was enabled by implementing a workflow that analyzes billions of search logs using the Big Data platform. • The workflow runs continuously to handle any manually curation proposed by data analy ...
Introduction to knowledge-based systems
Introduction to knowledge-based systems

... Various types of neurons Various network architectures Various learning algorithms Various applications ...
Approaching P=NP: Can Soap Bubbles Solve The Steiner Tree
Approaching P=NP: Can Soap Bubbles Solve The Steiner Tree

... • Try to devise P algorithms to NP-Complete problems. – Problem: Turing arguments, Razborov-Rudich barrier ...
chapter 4 slides
chapter 4 slides

... Then the state space can be the set of “complete” configurations – e.g., for 8-queens, a configuration can be any board with 8 queens – e.g., for TSP, a configuration can be any complete tour In such cases, we can use iterative improvement algorithms; we keep a single “current” state, and try to imp ...
Convolutional neural network of Graphs without any a
Convolutional neural network of Graphs without any a

... extract statistically significant patterns from large set of data and this property allows them to improve significantly the pattern recognition tasks on Image, Sound and Video Media [2]. Recently the scientific community in Signal processing and Machine learning have demonstrated a big interest in ...
Problem solving by search
Problem solving by search

... Among its many world-wide effects, the El Niño phenomenon can sometimes lead to a split jet stream over North America. It is also known that split jet streams can lead to wetter winters in the Southwest US. They have also been known to cause drier winters in the Northwest US. Some relevant numbers a ...
Document
Document

... precondition of the operator: Put the queens row by row. In this case the number of the n-length paths : nn Additionally, the size of the problem space will be decreased if a new queen is never put on the board containing an attack. Gregorics Tibor ...
Introduction to AI
Introduction to AI

... At the end of this course, students should have a good understanding of the research questions and methods used in artificial intelligence, and should also be able to use this knowledge to implement some of these methods. Relationship Students who have completed the course successfully should be abl ...
Normas para Publicação de Trabalhos em duas colunas
Normas para Publicação de Trabalhos em duas colunas

... training vector set [1]. Each subspace, into which the training set is decomposed, contains highly correlated information. Therefore, since the autocorrelation of the noise component is nearly zero, upon reconstructing the original vector set from its subspaces, the noise component is implicitly ...
Guest Editorial Applications Of Artificial Neural Networks To Image
Guest Editorial Applications Of Artificial Neural Networks To Image

... RTIFICIAL neural network (NN) architectures have been recognized for a number of years as a powerful technology for solving real-world image processing problems. The primary purpose of this special issue is to demonstrate some recent success in solving image processing problems and hopefully to moti ...
A general framework for optimal selection of the learning rate in
A general framework for optimal selection of the learning rate in

... Han‐Lin Hsieh, Maryam M. Shanechi  Abstract:  Brain‐machine  interfaces  (BMIs)  decode  subjects’  movement  intention  from  neural  activity  to  allow  them  to  control  external  devices.  Various  decoding  algorithms,  such  as  linear  regression,  Kalman,  or  point process filters, have b ...
Comparative Computer Results of a New Complementary Pivot
Comparative Computer Results of a New Complementary Pivot

... inequality constraints). The approach is based on the complementary pivoting algorithms that have been developed to solve certain classes of fixed-point problems. The specific approach is to use the equality constraints to solve for some of the variables in terms of the remaining ones, thus enabling ...
< 1 ... 20 21 22 23 24 25 26 27 28 ... 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