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.

What is black box AI? - Black box AI is any artificial intelligence system whose inputs and operations aren't visible to the user or another interested party.
What is ChatGPT? - ChatGPT is an AI chatbot that uses natural language processing to create humanlike conversational dialogue.
What is clustering in machine learning and how does it work? - Clustering is a data science technique in machine learning that groups similar rows in a data set.
What is composable analytics? - Composable analytics is an approach to data analytics and business intelligence (BI) that lets an organization combine modular components from different data and analytics tools.
What is computational linguistics? Definition and career info - Computational linguistics (CL) is the application of computer science to the analysis and comprehension of written and spoken language.
What is continuous intelligence? - Continuous intelligence (CI) is a data analysis process that delivers real-time analytics and insights as a part of ongoing business operations.
What is conversational AI (conversational artificial intelligence)? - Conversational AI, also known as conversational artificial intelligence, is a type of AI that enables computers to understand, process and generate human language.
What is Dall-E and how does it work? - Dall-E is a generative artificial intelligence (AI) technology that enables users to create images by submitting text-based prompts.
What is data labeling? - Data labeling is the process of identifying and tagging data samples commonly used in the context of training machine learning (ML) models.
What is data monetization? - Data monetization is the process of measuring the economic benefit of corporate data.
What is data poisoning (AI poisoning) and how does it work? - Data or AI poisoning attacks are deliberate attempts to manipulate the training data of artificial intelligence and machine learning models to corrupt their behavior and elicit skewed, biased or harmful outputs.
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 decision intelligence? - Decision intelligence is an emerging field that combines data science, artificial intelligence (AI) and decision theory to improve organizational decision-making.
What is deep learning and how does it work? - Deep learning is a type of machine learning (ML) and artificial intelligence (AI) that trains computers to learn from extensive data sets in a way that simulates human cognitive processes.
What is deepfake technology? - Deepfake technology is a type of artificial intelligence used to create convincing fake images, videos and audio recordings.
What is dimensionality reduction? - Dimensionality reduction is a process and technique to reduce the number of dimensions -- or features -- in a data set.
What is embedded analytics? - Embedded analytics is a data analysis technology that puts analytics capabilities within a business software application, platform or web portal instead of a separate tool.
What is embodied AI? How it powers autonomous systems - Embodied AI refers to artificial intelligence systems that interact with and can learn from their environments using a suite of technologies that include sensors, motors, machine learning and natural language processing.
What is explainable AI? - Explainable AI (XAI) is artificial intelligence (AI) programmed to describe its purpose, rationale and decision-making process in a way that the average person can understand.
What is face detection and how does it work? - Face detection, also called facial detection, is a computer technology that identifies human faces in digital images and video.
What is feature engineering? - Feature engineering is the process that takes raw data and transforms it into features that can be used to create a predictive model using machine learning or statistical modeling, such as deep learning.
What is fine-tuning in machine learning and AI? - Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, targeted data set.
What is Fréchet inception distance (FID)? - Fréchet inception distance (FID) is a metric for quantifying the realism and diversity of images generated by generative adversarial networks (GANs).
What is Gemma? Google's open sourced AI model explained - Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers.
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 Google Search Labs? - Google Search Labs is a program from Alphabet's Google division to provide new capabilities and experiments for Google Search in a preview format before they become publicly available.
What is image-to-image translation? - Image-to-image translation is a generative artificial intelligence (AI) technique that translates a source image into a target image while preserving certain visual properties of the original image.
What is language modeling? - Language modeling, or LM, is the use of various statistical and probabilistic techniques to determine the probability of a given sequence of words occurring in a sentence.
What is linear regression? - Linear regression is a statistical technique that identifies the relationship between the mean value of one variable and the corresponding values of one or more other variables.
What is machine learning bias (AI bias)? - Machine learning bias, also known as 'algorithm bias' or 'AI bias,' is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the machine learning (ML) process.
What is machine learning operations (MLOps)? - Machine learning operations (MLOps) is the development and use of machine learning models by development operations (DevOps) teams.
What is machine learning? Guide, definition and examples - Machine learning is a branch of AI focused on building computer systems that learn from data.
What is machine translation? - Machine translation technology enables the conversion of text or speech from one language to another using computer algorithms.
What is machine vision? - Machine vision is the ability of a computer to see; it employs one or more video cameras, analog-to-digital conversion and digital signal processing.
What is multimodal AI? Full guide - Multimodal AI is artificial intelligence that combines multiple types, or modes, of data to create more accurate determinations, draw insightful conclusions or make more precise predictions about real-world problems.
What is named entity recognition (NER)? - Named entity recognition (NER) is a natural language processing (NLP) method that extracts information from text.
What is narrow AI (weak AI)? - Narrow AI is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose.
What is natural language generation (NLG)? - Natural language generation (NLG) is the use of artificial intelligence (AI) programming to produce written or spoken narratives from a data set.
What is natural language processing (NLP)? - Natural language processing (NLP) is the ability of a computer program to understand human language as it’s spoken and written -- referred to as natural language.
What is natural language query (NLQ)? - Natural language query (NLQ) is a capability that enables users to ask questions within their analytics platforms using ordinary human language instead of query language.
What is natural language understanding (NLU)? - Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech.
What is neuro-symbolic AI? - Neuro-symbolic AI combines neural networks with rules-based symbolic processing techniques to improve artificial intelligence systems' accuracy, explainability and precision.
What is NumPy? Explaining how it works in Python - NumPy is an open source mathematical and scientific computing library for Python programming tasks.
What is OpenAI? - OpenAI is a private research laboratory that aims to develop and direct artificial intelligence (AI) in ways that benefit humanity as a whole.
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 Q-learning? - Q-learning is a machine learning approach that enables a model to iteratively learn and improve over time by taking the correct action.
What is reinforcement learning? - Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions.
What is responsible AI? - Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view.
What is Salesforce Einstein 1? - Salesforce Einstein 1 refers to an integrated set of artificial intelligence (AI) and machine learning (ML) technologies developed for the Salesforce platform.
What is sentiment analysis? - Sentiment analysis, also referred to as 'opinion mining,' is an approach to natural language processing (NLP) that identifies the emotional tone behind a body of text.
What is singularity in technology and AI? - In technology, the singularity describes a hypothetical future where technology growth is out of control and irreversible.
What is social learning theory? - Social learning theory is the philosophy that people can learn from each other through observation, imitation, modeling and even emotions.
What is 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.
What is speech technology? - Speech technology is a type of computing technology that enables an electronic device to recognize, analyze and understand spoken word or audio.
What is supervised learning? - Supervised learning is a subcategory of machine learning (ML) and artificial intelligence (AI) where a computer algorithm is trained on input data that has been labeled for a particular output.
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).
What is the 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.
What is transfer learning? - Transfer learning is a machine learning (ML) technique where an already developed ML model is reused in another task.
What is 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.
What is voice recognition and how does it work? - Voice or speaker recognition is the ability of a machine or program to receive and interpret dictation or to understand and perform spoken commands.
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.