Artificial Intelligence in the military is good for the future because it will allow us to better protect our citizens with a multitude of advances that will help us decipher many situations more effectively and efficiently on the battlefield. Artificial Intelligence will gives the military an opportunity to be a step ahead of its enemies at all times, which allow them to most often diffuse many situations with very minimal casualties. “ Today, the military primarily uses AI to process large amounts
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Deep Learning more at http://ml.memect.com Contents 1 Artificial neural network 1 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 Improvements since 2006 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Models . . . . . . . . . . . . . . . . . . . . . . . .
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CHAPTER 2 2.0 Literature Reviews This project on Intelligent Conversation Bot, as presented in this study, relies on several terms as well as theories. The literature review is actually written to Narrate about what has been published on Artificial Conversational Entity in the summary. This chapter provides the most important results in the above mentioned areas. All these literatures were guiding the research of the kind of work have done before. Chapter two sought to find the appropriate foundations
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Neural Networks for Matching in Computer Vision Giansalvo Cirrincione1 and Maurizio Cirrincione2 Department of Electrical Engineering, Lab. CREA University of Picardie-Jules Verne 33, rue Saint Leu, 80039 Amiens - France exin@u-picardie.fr Universite de Technologie de Belfort-Montbeliard (UTBM) Rue Thierry MIEG, Belfort Cedex 90010, France maurizio.cirricione@utbm.fr 1 2 Abstract. A very important problem in computer vision is the matching of features extracted from pairs of images. At this
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ARTIFICIAL INTELLIGENCE: OVERVIEW OF NEURAL NETWORKS NAME: | | DATE: | | TOPIC: | FIRING RULE | SCHEDULE: | MH 04:30P – 06:00p | OBJECTIVE: * To be familiarized with a neural network’s firing rule. * To demonstrate the implementation of Hamming Distance Technique (HDT) PROBLEM: A 3-input neuron is taught to output 1 when the input (X1, X2, and X3) is 111 or 101 and to output 0 when the input is 000 or 001. PROCEDURES: 1. Take a collection of training patterns for a node
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University of Jordan Artificial intelligence Dr. Nadim Ali Meri Obeid Project name: Machine Learning Major Student number Name CIS 0091421 Ahmad Fayed CIS 0094617 Haytham Issam Machine Learning (The Discipline of Machine Learning 1st Paper) Considering the things that I’ve read about the subject of machine learning; I think most of them tried to develop machine learning by trying to give the machine itself the answers to a vast variety of questions. Also they seem to
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A Review of ANN-based Short-Term Load Forecasting Models Y. Rui A.A. El-Keib Department of Electrical Engineering University of Alabama, Tuscaloosa, AL 35487 Abstract - Artificial Neural Networks (AAN) have recently been receiving considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appreared in the literature. An extensive survey of ANN-based load forecasting models is given in this paper. The six most important factors which
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1. Describe (a) the basic structure of and (b) the learning process for a 3-layer artificial neural network. A 3-layer artificial neural network consists of an input, output and a hidden layer in the middle. For e.g. To recognize male and female faces, the input layer would be made up of a computer program analyzing a camera shot. The output layer would be the word male or female appearing on the screen. The hidden layer is where all action takes place and connections are made between
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Along with the usual movie trailers, press junkets and reputation generated hype generated by the name Stephen Spielberg, 2001's Artificial Intelligence: AI was propelled forward into one of the largest multimedia marketed films. The majority of the buzz surrounding this film was created by the viral marketing plan of using Internet surfers and the online gaming community. Warner Brothers spent over $1 million on the game project. Users could sign on and play a highly interactive and intricate murder
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Overview: DeepFace is a project being developed and put in use by FaceBook, DeepFace can accurately identify the true identity of an image and can spot users in the 400 Million photos uploaded to Facebook every day. “DeepFace uses a fresh approach to artificial intelligence known as deep learning.” Deep learning is noted as networks of neurons learn to recognize patterns that are in large amounts of data. Deep learning is not a new breakthrough concept, it has been floating around for decades, but our
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