Artificial Neural Networks An Example Of Machine Learning

In 1958 Psychologist Frank Rosenblatt invented the first artificial neural network. He called it Perceptron and hoped it would model the human brain and process visual data and learn to recognize objects. Artificial Neural Networks (ANNs) are expected to grow within the next few years. An artificial neural network is composed of interconnected artificial neurons that mimic some properties of biological neurons. ANNs work like simulated brains. They are given software and be set up in a way that mimics that of a human brain. The intent within the next few years is that ANNs will be become more sophisticated (pendel). ANNs are an example of Machine Learning (ML). Machine learning is a type of Artificial Intelligence that attempts to give computers the capability of learning from data that that extensive programming is not needed. ML allows for computers to take data and infer patters from previous data that has been inputted into it. This allows for the computer to take the data and ma ke new predictions. This technology has been proven to be useful in many aspects of life(Pastur-Romay). ML technology and ANNs have proven to be useful in the world of pharmacology and bioinformatics in as early as the 1900’s (Pastur-Romay). ANNs can also be seen within the everyday life of a normal individual, sources such as Google and Facebook use them in order to recognize objects in your photos (pendel). This allows an individual to upload a batch of photos and instantly tag the people inShow MoreRelated Artificial Intelligence and Investing Essay1648 Words   |  7 PagesArtificial Intelligence and Investing INTRODUCTION Artificial intelligence can be defined as the ability of a computer to perform activities normally considered to require human intelligence. The techniques of this intelligence include knowledge-based, machine learning, and natural language processing techniques. 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