Artificial Intelligence (AI) is a vast field of computer science concerned with developing smart machines capable of performing a wide range of tasks. The technology is also known as machine intelligence and attempts to mimic humans enabling software applications or systems to act with varying degrees of autonomy. AI makes it possible for machines to solve problems and even paves the way for automation. Analytics Insights has accumulated here a comprehensive look at Artificial Intelligence technologies that are revolutionizing society and business as well. Below are their definitions:
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. The process of learning begins with observations or data, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.
Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. It is also known as deep neural learning or deep neural network.
Natural Language Processing or NLP is a branch of artificial intelligence that deals with the interaction between computers and humans using natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of human languages in a manner that is valuable. Most NLP techniques rely on machine learning to derive meaning from human languages.
Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Computer vision is the ability to extract meaning and intent from visual elements, whether characters or the categorization of content in images, such as faces, objects, scenes, and activities.
Face/Image recognition is a way of recognizing a human face through machine learning and artificial intelligence. Specifically, most cutting-edge facial/Image recognition programs feature a type of neural network called a convolutional neural network (CNN). The system uses convolutions as well as other algorithms in successive stages to do complex analysis of an image, and even identify people, animals, objects or settings through advanced analysis.
Robotic process automation (RPA) is used to partially or fully automate human activities that are manual, rule-based, and repetitive. They work by replicating the actions of an actual human interacting with one or more software applications to perform tasks such as data entry, process standard transactions, or respond to simple customer service queries.
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