Artificial neural network

Machine learning is the subfield of artificial intelligence that deals with training an agent to perform a task or a set of tasks, without the need to be explicitly programmed. The learning process is made possible as the agent uses previously observed data to make decisions, while at the same time, it receives feedback for its actions and as a result, it is able to improve its performance on future tasks. Different subcategories of machine learning algorithms are defined according to the way…

decisions on the other hand Artificial Intelligence is a way to make a computer,a computer-controlled robot,or a software that think intelligently like humans.Artificial Intelligence is based on the study that how human thinks,learn,decide and work in order to resolve an issue and then using the outcome of this study as a basis of developing intelligent software and systems. Comparision between Artificial Intelligence and Business Intelligence Basis of comparision Artificial Intelligence…

discussed in literature (such as Earth being flat Vs. the ‘correct’ conception of it being round) exhibited among children/students. Discuss this misconception and its nature in relation to networks perspective as well as Gibson’s idea of “affordance”. Try to build a discussion along the following lines, using this (network + affordance) perceptive: (a) What explains the existence of this alternative conception/ (b) Is holding such a conception natural/ What kind of daily experience may have…

artificial intelligence The artificial intelligence is one of branches in the computer science which is used in many application especially application of technology as it is the way that the machine or the computer or any application used to make its creation and creativity and help the application to take decisions like humans so it is used in making games, toys, computers, in the internet where the searching engines and absolutely in robotics. AI researchers and textbooks define the field of…

Introduction Artificial Intelligence (AI) is the science and engineering of making computer machines able to perform tasks which normally require human intelligence, such as visual perception, speech recognition, and translation between languages. AI is the area of computer science focusing on creating machines that can engage on behaviors that humans consider intelligent. It is the branch of computer science that aims to create intelligent machines. Artificial intelligence is the simulation of…

The ontogenesis of machines into sentient beings is a direct consequence of the machine’s ability to learn, react and adapt to the changes in its environment. My goal is to use machine learning and artificial intelligence to create perceptive systems and solutions that are scalable, replicable and sustainable. My decision to study machine learning and AI is a culmination of my experience in a multitude of fields. My tryst with computers began in high school when we were asked to develop software…

Abstract— Bag of words model (BOW),which was originally used for document classification has been introduced to computer vision field recently and used in object recognition successfully. The bag of words model to the face recognition which can robustly give excellent performance in recognizing the face under various conditions like illumination, pose variation ,facial expression and occlusions. The scale Invariant Feature Transform is used for extracting the features from the face and SVM…

Kelly Neuroth’s oral presentation discussing Artificial Intelligence in Power Systems was very effective in its delivery. While shorter than expected, the discussion efficiently introduced how artificial intelligence is being used in high output power plants to detect cracks. He then explained neural networks and how computers can be trained with photos of cracks, scratches and other defects. Using these photos, the neural network learns to tell the difference between cracks and not cracks.…

This is the most popular network architecture in use today. The input layer of this network is a set of input units, which accept the elements of input feature vectors. The input units (neurons) are fully connected to the hidden layer with the hidden units. The hidden units (neurons) are also fully connected to the output layer. The output layer supplies the response of neural network to the activation pattern applied to the input layer. The information given to a neural net is propagated…

Artificial Intelligence, from your phone to the chess board to your car, is becoming more and more advanced, seemingly only bounded by our imagination. It seems as though we, as a society, should no longer be asking “Can I?” and instead should be asking “Should I?” Modern times are plagued with issues caused by human error such as mistakes, accidents, and misjudgment. If you could eliminate these errors, saving millions of lives a year, at the cost of a marginal amount of your freedom, would…