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 AI inference? - AI inference is the process during which a trained AI model applies its understanding to generate original output in real time.
- What is AI? Artificial Intelligence explained - Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
- What is an AI accelerator? - An AI accelerator is a type of hardware device that can efficiently support AI workloads.
- What is an AI prompt? - An artificial intelligence (AI) prompt is the input submitted to a large language model (LLM) via a generative AI platform, like OpenAI's ChatGPT or Microsoft Copilot.
- What is an inductive argument? - An inductive argument is an assertion that uses specific premises or observations to make a broader generalization.
- What is an intelligent agent? - An intelligent agent is a program that can make decisions or perform a service based on its environment, user input and experiences.
- What is anomaly detection? An overview and explanation - Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range.
- 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 augmented analytics? - Augmented analytics is the use of machine learning (ML) and natural language processing (NLP) to enhance data analytics, data sharing and business intelligence.
- What is Bayes' theorem? How is it used in machine learning? - Bayes' theorem is a mathematical formula used in probability theory to calculate conditional probability, i.
- 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 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 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 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 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 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 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 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 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 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 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.