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.

smart farming - Smart farming is a management concept focused on providing the agricultural industry with the infrastructure to leverage advanced technology – including big data, the cloud and the internet of things (IoT) – for tracking, monitoring, automating and analyzing operations.
smart machines - A smart machine is a device embedded with machine-to-machine and/or cognitive computing technologies such as artificial intelligence (AI), machine learning (ML) or deep learning, all of which it uses to reason, solve problems, make decisions and even take action.
social robot - A social robot is an artificial intelligence (AI) system that is designed to interact with humans and other robots.
soft computing - Soft computing is the use of approximate calculations to provide approximate solutions to complex computational problems.
spatial intelligence - Spatial intelligence is the concept of being able to successfully perceive and derive insight from visual data.
speech analytics - Speech analytics is the process of analyzing voice recordings or live customer calls to contact centers with speech recognition software to find useful information and provide quality assurance.
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.
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.
technological convergence - Technological convergence is a term that describes bringing previously unrelated technologies together, often in a single device.
telepresence robot - A telepresence robot is a robotic device that enables a user to maintain a virtual presence in a remote location.
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 (IVA) -- is a software program or cloud service that uses artificial intelligence (AI) technologies, such as machine learning (ML) and natural language processing (NLP) to provide automated services 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.
vision language models (VLMs) - Vision language models (VLMs) combine machine vision and semantic processing techniques to make sense of the relationship within and between objects in images.
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 are graph neural networks (GNNs)? - Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a graph's nodes and edges.
What are large language models (LLMs)? - A large language model (LLM) is a type of artificial intelligence (AI) algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content.
What are masked language models (MLMs)? - Masked language models (MLMs) are used in natural language processing (NLP) tasks for training language models.
What is artificial general intelligence (AGI)? - Artificial general intelligence (AGI) is the representation of generalized human cognitive abilities in software so that, faced with an unfamiliar task, the AI system could find a solution.
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 Google Gemini (formerly Bard) - Google Gemini -- formerly called Bard -- is an artificial intelligence (AI) chatbot tool designed by Google to simulate human conversations using natural language processing (NLP) and machine learning.
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.
What is synthetic data? Examples, use cases and benefits - Synthetic data is information that's artificially manufactured rather than generated by real-world events.
What is the inception score (IS)? - The inception score (IS) is a mathematical algorithm used to measure or determine the quality of images created by generative AI through a generative adversarial network (GAN).
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.