An important field in computer science today is artificial intelligence. The novel approaches that computer scientists use in this field are looked to for answers to many of the problems that have not been solved through traditional approaches to software engineering thus far. One of the concepts studied and implemented for a variety of tasks in artificial intelligence today is neural networks; they have proven successful in offering an approach to some problems in the field, but they also have some failings.
Traditional neural networks, which “learn” by changing the values, or weights, contained at nodes in a directed graph, suffer from several issues that make actually applying them to a given problem difficult and unwieldy. They require large amounts and frequent application of training—the material with which their knowledge banks are kept accurate—which makes them difficult to maintain. Many neural network systems suffer from a type of information overload in which they may lose data after being trained on a large dataset, which may not be desirable, as it could damage the reliability of the produced results.
The various deficiencies of traditional neural networks, coupled with their encouraging success in some areas, have prompted research into alternate network models. A new type of neural network proposed by Dr. Anthony Beavers, the dynamic associative network (DAN), offers an answer to some of traditional neural networks’ problems. Instead of altering the weights of nodes during training, DANs simply add new interconnected nodes as they are needed. They need not be trained continuously to retain their correct behavior, unlike traditional neural networks, and they are not data-lossy. Recent research suggests that ...
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...feature detectors will be in a particular partially activated state, which is called a signature. This signature will be matched against all the other unique signatures constructed from the InPhO database, and using the rich partial-match properties of dynamic associative networks, determine which elements of the ontology have the most in common with the Document. This set of elements will further be analyzed to locate the appropriate position of the Document within the hierarchy of philosophy.
The project as proposed has no significant economic, environmental, health and safety, or political ramifications. One of the goals is to minimize the influence of (and number of hours required from) the philosophy professionals that currently help to curate the taxonomy, which could have social consequences, as their dedication of time and effort would no longer be needed.
... middle of paper ... ... In Intelligent Data Engineering and Automated Learning–IDEAL 2006 (pp. 1346-1357. Springer Berlin, Heidelberg.
The advent of neural net with the seminal work of Hopfield , popularized the use of machine intelligence techniques in the pattern recognition. However, the dense and inherent structure of neural networks is not suitable for VLSI implementation. So, researchers in the neural network domain tried to simplify the structure of the neural network by pruning unnecessary connections. Simultaneously, the CA research community explored the advantages of the sparse network structure of cellular automata for relevant applications. The hybridization of cellularity and neural network has given rise to the popular concept of cellular neural networks.
Artificial Intelligence (AI) is one of the newest fields in Science and Engineering. Work started in earnest soon after World War II, and the name itself was coined in 1956 by John McCarthy. Artificial Intelligence is an art of creating machines that perform functions that require intelligence when performed by people [Kurzweil, 1990]. It encompasses a huge variety of subfields, ranging from general (learning and perception) to the specific, such as playing chess, proving mathematical theorems, writing poetry, driving a car on the crowded street, and diagnosing diseases. Artificial Intelligence is relevant to any intellectual task; it is truly a Universal field. In future, intelligent machines will replace or enhance human’s capabilities in
Stergiou, C., & Siganos, D. (2011, August 6). Neural Networks. Retrieved August 6, 2011, from
This story is that, during the mid 21 century, because of the thaw of the iceberg that was floating in the Arctic, thus human created the Artificial Intelligence to help themselves to face the terrible environment easily. David is a robot like them. But he is the only one that is written into the love. As the first robot has love, he became the experimental article to be a kid for a couple who lost their son. As the time goes by, David still can’t join this family, and the couple thinks he can’t rather than their son exactly, so they make a decision to send to the company that created him to destroy him. However, they didn’t want to finally, but David can’t stay with them anymore. David thinks they don’t like him because he is not a real boy, if he can be a real boy, he will hear stories by his mother before he goes to bed, although he never need to sleep. So he still has a dream that one day, he will be a real boy, because he wants to be with his mother. His best friend and guide, Teddy helped him to find his dream and he says he will see him become a real boy. There is only one hope, Blue Fairy can help him to achieve him dream. However, you know, he did find her, but he was freezed with his best hope, Blue Fairy...
The concept of Multiple Intelligences has come out after Howard Gardner redefined intelligence. According to Gardner’s theory, human beings have different types of intelligence and based on their respective intelligence types, human beings have different skills in different areas. Human beings can be more successful and productive on areas they are skillful. Therefore, choosing appropriate professions, in accordance with one’s intelligence type, is important for individuals as well as for the society. This study aims to develop a technique to help high school students in the profession selection process using artificial intelligence. Questionnaire has been utilized as the research method and the data have been analyzed via Fuzzy Logic Toolbox which is subunit of the software called MATLAB. It was aimed to direct students to appropriate profession and build more successful and productive professions.
Goertzel, B., & Pennachin, C. (2007). In Artificial General Intelligence. Heidelburg, New York: Springer Berlin. Retrieved on July 31, 2010 from Google books Database.
"My name is Dorothy," said the girl, "and I am going to the Emerald City, to ask the Oz to send me back to Kansas."
Artificial Intelligence continues to grow and expand at a fast rate, which begs the question, will Artificial Intelligence move to the top of the food chain? Artificial Intelligence is software that is meant to tackle tasks that would normally require a human intellect. It is created by a number of algorithms that operate within in certain parameters, which allows it to complete certain tasks. Nils J. Nilsson, professor of Stanford University describes Artificial intelligence as “ an activity devoted to making machines intelligent, and intelligence is that quality that enables an entity to function appropriately and with foresight in its environment”. The article on the New York Times Debate page talks about the advancement of Artificial Intelligence,
Scientists claim that devices with Artificial Intelligence will replace office workers during next 5 years (Maksimova).According to this statement it is possible to say that AI has a great influence on humanity. Pursuant to Oxford Dictionary Artificial Intelligence or AI is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages(dictionary).Firstly, this research will analyze positive and negative impacts of development of Artificial Intelligence on economic sphere. Then, author going to discuss social effects of Artificial Intelligence. After the considering all perspectives that link to this topic, the last step will be to draw a conclusion.
Artificial neural networks are systems implemented on computer systems as specialized hardware or sophisticated software that loosely model the learning and remembering functions of the human brain. They are an attempt to simulate the multiple layers of processing elements in the brain, called neurons. These elements are implemented in such a way so that the layers can learn from prior experience and remember their outputs. In this way, the system can learn to recognize certain patterns and situations and apply these to certain priorities and output appropriate results. These types of neural networks can be used in many important situations such as priority in an emergency room, for financial assistance, and any type of pattern recognition such as handwritten or text-to-speech recognition.
Artificial Intelligence is the scientific theory to advance the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. This is going to hold the key in the future. It has always fa...
Singh, Y. & Chauhan, A. (2009). Neural networks in data mining. Journal of Theoretical and
Machine learning systems can be categorized according to many different criteria. We will discuss three criteria: Classification on the basis of the underlying learning strategies used, Classification on the basis of the representation of knowledge or skill acquired by the learner and Classification in terms of the application domain of the performance system for which knowledge is acquired.
Artificial intelligence (AI) has made a difference since the mid-20th century. Online customer support, smartphones, and self-driving cars are examples of modern-day technology operating on artificial intelligence. Artificial intelligence has come a long way and has developed tremendously over