Artificial intelligence

Terms related to artificial intelligence (AI), including definitions about machine learning and words and phrases about training data, algorithms, natural language processing, neural networks and automation.

speech disfluency - A speech disfluency is any disruption in the flow of spoken language that is caused by the speaker.
speech recognition - Speech recognition, or speech-to-text, is the ability of a machine or program to identify words spoken aloud and convert them into readable text.
speech technology - Speech technology is a type of computing technology that enables an electronic device to recognize, analyze and understand spoken word or audio.
stemming - Stemming is the process of reducing a word to its stem that affixes to suffixes and prefixes or to the roots of words known as "lemmas.
structural ambiguity - Structural or syntactic ambiguity is the potential of multiple interpretations for a piece of written or spoken language because of the way words or phrases are organized.
supervised learning - Supervised learning is an approach to creating artificial intelligence (AI) where a computer algorithm is trained on input data that has been labeled for a particular output.
support vector machine (SVM) - A support vector machine (SVM) is a type of supervised learning algorithm used in machine learning to solve classification and regression tasks.
sustainable AI - Sustainable AI is the use of artificial intelligence systems that operate in ways contingent with sustainable business practices.
synthetic data - Synthetic data is information that's artificially manufactured rather than generated by real-world events.
target function - A target function, in machine learning, is a method for solving a problem that an AI algorithm parses its training data to find.
telepresence robot - A telepresence robot is a remote-controlled, wheeled device that has wireless internet connectivity.
TensorFlow - TensorFlow is an open source framework developed by Google researchers to run machine learning, deep learning and other statistical and predictive analytics workloads.
ternary content-addressable memory (TCAM) - Ternary content-addressable memory (TCAM) is a specialized type of high-speed memory that searches its entire contents in a single clock cycle.
text mining (text analytics) - Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data.
transfer learning - Transfer learning is a machine learning method where a model already developed for a task is reused in another task.
transformer model - A transformer model is a neural network architecture that can automatically transform one type of input into another type of output.
truncation error - A truncation error is the difference between an actual and a truncated, or cut-off, value.
Turing Test - A Turing Test is a method of inquiry in artificial intelligence (AI) for determining whether or not a computer is capable of thinking like a human being.
uncanny valley - The uncanny valley is a common unsettling feeling people experience when androids or humanoid robots and audio/visual simulations closely resemble humans in many respects but aren't quite convincingly realistic.
unsupervised learning - Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled.
validation set - A validation set is a set of data used to train artificial intelligence (AI) with the goal of finding and optimizing the best model to solve a given problem.
virtual agent - A virtual agent -- sometimes called an intelligent virtual agent, virtual rep or chatbot -- is a software program that uses scripted rules and, increasingly, artificial intelligence (AI) applications to provide automated service or guidance to humans.
virtual assistant (AI assistant) - A virtual assistant, also called an AI assistant or digital assistant, is an application program that understands natural language voice commands and completes tasks for the user.
voice recognition (speaker recognition) - Voice or speaker recognition is the ability of a machine or program to receive and interpret dictation or to understand and perform spoken commands.
What is artificial intelligence (AI)? Everything you need to know - Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
What is data science? The ultimate guide - Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses.
What is machine learning and how does it work? In-depth guide - Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data.
What is predictive analytics? An enterprise guide - Predictive analytics is a form of advanced analytics that uses current and historical data to forecast activity, behavior and trends.
workflow automation - Workflow automation is an approach to making the flow of tasks, documents and information across work-related activities perform independently in accordance with defined business rules.
Zipf's Law - Zipf’s Law is a statistical distribution in certain data sets, such as words in a linguistic corpus, in which the frequencies of certain words are inversely proportional to their ranks.