Artificial Intelligence (AI) Essay

ABSTRACT- An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information [1]. Artificial Neural Networks (ANN) also called neuro-computing, or parallel distributed processing (PDP), provide an alternative approach to be applied to problems where the algorithmic and symbolic approaches are not well suited. The objective of the neural network is to transform the inputs into meaningful outputs. There are many researches which show that brain store information as pattern. Some of these patterns are very complicated and allows us to recognize from different angles. This paper gives a review of the artificial neural network and analyses the techniques in terms of performance.

Currently, the major that I am personally most interested in at the Gabelli School of Business is information systems (IS). To put it simplistically, information systems majors will enter the workforce with the ability to utilize complex computer systems in order to solve business problems. Furthermore, at The Gabelli School of Business, information systems majors will learn how to collect and process business data, utilize complex computer hardware, and perform complex tasks via various types of computer software. IS majors must take the following six courses: Database Systems, Business Applications Development, Systems Analysis, Web Applications Design and Development, Project Management, and Global IT Strategy and Management. Additionally,

An informatics needs assessment is a critical step in the selection and implementation of the Electronic Health Record (EHR). The purpose of a needs assessment is to understand the organization and the needs of the organization well enough to boost the positive impact of an EHR while minimizing the negative effects (American Medical Association, n.d.).

Fear is created not by the world around us, but in the mind, by what we think is going to happen. Why is it that in almost all of the movies starring cyborgs, the cyborgs are either inherently evil or the cause of trouble? We human beings seem to have a problem with the idea of a person enhanced with technology, or a robot enhanced with Artificial Intelligence (AI).

Simulated neural systems (ANNs) utilize a cartoon of the way the human mind forms data. An ANN has numerous preparing units (neurons or hubs) working as one. They are exceedingly interconnected by connections (neural connections) with weights. The system has an information layer, a yield layer and any number of shrouded layers. A neuron is connected to all neurons in the following layer (fig.1.2). ANNs are helpful in tackling information escalated issues where the calculation or principles to take care of the issue are obscure or hard to express. The information structure and non-direct calculations of ANNs permit great fits to perplexing, multivariable information. ANNs process data in parallel and are strong to information mistakes. They

Shifting toward computing and software, the company are seeing its products in auspicious fields such as healthcare. The company developed a non-natural smart computer system capable of responding problems posed in an ordinary language called

According to the computational process, human brain and a machines that use deep learning techniques generally have major difference on three levels; (1) at the implementation level, human brain uses neurons as the basic units to process the signals while the computers use transistors as the basic logic gates for all operations on the data. (2) at the algorithmic level, brains use connections such as axons to link the functional components of the brains and activate the corresponding components for different tasks. However, computers use the symbolic representation of the running processes and execute them with the step by step symbolic machine computations. (3) at the computational level, the brains activate all the relevant cells to perform the tasks concurrently with distributed parallel structures while computers generally use operating systems to compute the tasks in a serial manner.

The essay will briefly introduce the concept of the ‘delegation’ and think about the relationship amongst the smart technology assemblage and people. Then, it will put more empathises on critically analysing two primary types of the intelligent agent, which transforms our life, although it has led to some criticisms including privacy and people are labelled as a “lesser being”. At the end, the essay will look forward to the development of the intelligent agent in the near future.

Topic 1: What are the capabilities and limitations of intelligence in supporting homeland security efforts?

Emergence networks mimics biological nervous system unleash generations of inventions and discoveries in the artificial intelligent field. These networks have been introduced by McCulloch and Pitts and called neural networks. Neural network’s function is based on principle of extracting the uniqueness of patterns through trained machines to understand the extracted knowledge. Indeed, they gain their experiences from collected samples for known classes (patterns). Quick development of neural networks promotes concept of the pattern recognition by proposing intelligent systems such as handwriting recognition, speech recognition and face recognition. In particular, Problem of handwriting recognition has been considered significantly during

In these project functional models of Artificial Neural Networks (ANNs) is proposed to aid existing diagnosis methods. ANNs are currently a “hot” research area in medicine, particularly in the fields of radiology, cardiology, and oncology. In this an attempt is made to make use of ANNs in the medical field One of the important goals of Artificial Neural Networks is the processing of information similar to human interaction actually neural network is used when there is a need for brain capabilities and machine idealistic. The advantages of neural network information processing arise from its ability to recognize and model nonlinear relationships between data. In biological systems, clustering of data and nonlinear relationships are more

Machine learning is a part of software engineering that advanced from the examination of pattern recognition and computational learning hypothesis in AI (artificial Intelligence). Machine learning scrutinizes the study and development of algorithms that can gain from and make forecasts of the information.

In this structure of ANN we use the one input layer, one or more hidden layer, and one output layer. That structure we call MLP (multiple layer perceptron). On the input layer we use input layer 5 neurons. On the first hidden layer we are using the 5 neurons. And on the second hidden layer we use the 10 neurons. On the output layer we use the one neurons that predict the future load.NOW we train the workload information by using the Artificial neural network i.e. MLP structure. To Train the workload information aim is to find the set of weight values that will cause the output from the ANN to match to the target values as closely as possible. There several issues are arising when we train the neural network. First is selecting the number of hidden layer and neurons how much are used on the hidden layer. Second is to avoid the local minima and finding the globally optimal solution. To training the work load information first we need to divide the workload information. How much workload information is used to train? How much workload information for

Have you ever paid with your cell phone when making purchases? Or even used fingerprints or iris scan for security protocols at the bank or other institutions? Well if not, soon will it be a routine. Financial institutions are looking for transactional security, airports for highly reliable verification systems and corporations for data protection. The solution to all of these problems is embedded in technology; a technology involving biometrics and Information Systems.

Artificial Neural Networks (ANN) are a branch of the field known as "Artificial Intelligence" (AI) which may also consists of Fuzzy logic (FL) and Genetic Algorithms (GA). ANN are based on the basic model of the human brain with capability of generalization and learning. The purpose of this simulation to the simple model of human neural cell is to acquire the intelligent