Get started

Get started

Bring yourself up to speed with our introductory content.

• 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). Continue Reading

• machine teaching

  Machine teaching is the practice of infusing context -- and often business consequences -- into the selection of training data used in machine learning (ML) so that the most relevant outputs are produced by the ML algorithms. Continue Reading

• automated machine learning (AutoML)

  Automated machine learning (AutoML) is the process of applying machine learning (ML) models to real-world problems using automation. Continue Reading

• What is generative AI? Everything you need to know

  Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data. Continue Reading

• 15 top applications of artificial intelligence in business

  The use of AI in business applications and operations is expanding. Learn about where enterprises are applying AI and the benefits AI applications are driving. Continue Reading

• Definitions to Get Started

  • Fréchet inception distance (FID)
  • machine teaching
  • automated machine learning (AutoML)
  • What is generative AI? Everything you need to know

  • variational autoencoder (VAE)
  • responsible AI
  • inception score (IS)
  • machine learning bias (AI bias)

  View All Definitions

• variational autoencoder (VAE)

  A variational autoencoder (VAE) is a generative AI algorithm that uses deep learning to generate new content, detect anomalies and remove noise.Continue Reading

• The role of AI parameters in the enterprise

  What is the correlation between the number of parameters and an AI model's performance? It's not as straightforward as the parameter-rich generative AI apps would have us believe.Continue Reading

• Artificial intelligence vs. human intelligence: How are they different?

  Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three ways AI and human cognition diverge.Continue Reading

• responsible AI

  Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view.Continue Reading

• 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).Continue Reading

• machine learning bias (AI bias)

  Machine learning bias, also sometimes called 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 process.Continue Reading

• artificial intelligence (AI) governance

  Artificial intelligence governance is the legal framework for ensuring AI and machine learning technologies are researched and developed with the goal of helping humanity navigate the adoption and use of these systems in ethical and responsible ways.Continue Reading

• 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.Continue Reading

• singularity

  In technology, the singularity describes a hypothetical future where technology growth is out of control and irreversible.Continue Reading

• What is trustworthy AI and why is it important?

  What are the tenets of trustworthy AI and how do the funders and developers of AI ensure they're upheld?Continue Reading

• multimodal AI

  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.Continue Reading

• 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.Continue Reading

• conversational AI

  Conversational AI is a type of artificial intelligence that enables computers to understand, process and generate human language.Continue Reading

• Use cases show the combined potential of AI and blockchain

  AI and blockchain are both hot topics in IT, yet used for different purposes. However, enterprises across various sectors can now combine both technologies to their advantage.Continue Reading

• automated reasoning

  Automated reasoning is the area of computer science concerned with applying reasoning in the form of logic to computing systems.Continue Reading

• AI art (artificial intelligence art)

  AI art (artificial intelligence art) is any form of digital art created or enhanced with AI tools.Continue Reading

• cognitive search

  Cognitive search represents a new generation of enterprise search that uses artificial intelligence (AI) technologies to improve users' search queries and extract relevant information from multiple diverse data sets.Continue Reading

• Google Bard

  Google Bard is an AI-powered chatbot tool designed by Google to simulate human conversations using natural language processing and machine learning.Continue Reading

• History of generative AI innovations spans 9 decades

  ChatGPT's debut has prompted widespread publicity and controversy surrounding generative AI, a subset of artificial intelligence that's deep-rooted in historic milestones.Continue Reading

• case-based reasoning (CBR)

  Case-based reasoning (CBR) is an experience-based approach to solving new problems by adapting previously successful solutions to similar problems.Continue Reading

• Types of AI algorithms and how they work

  AI algorithms can help businesses gain a competitive advantage. Learn the main types of AI algorithms, how they work and why companies must thoroughly evaluate benefits and risks.Continue Reading

• 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.Continue Reading

• prompt engineering

  Prompt engineering is both an AI engineering technique for refining large language models (LLMs) with specific prompts and recommended outputs and the term for the process of refining input to various generative AI services to generate text or ...Continue Reading

• 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.Continue Reading

• How to formulate a winning AI strategy

  Executives are aware of the value artificial intelligence in its many forms can bring to enterprises yet devising a viable AI strategy can be as complex as the technology itself.Continue Reading

• 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.Continue Reading

• How do big data and AI work together?

  Enterprises are leaning on big data to train AI algorithms and, in turn, are using AI to understand big data. The results are pushing operations forward.Continue Reading

• convolutional neural network (CNN)

  A convolutional neural network (CNN or convnet) is a subset of machine learning.Continue Reading

• 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.Continue Reading

• neuromorphic computing

  Neuromorphic computing is a method of computer engineering in which elements of a computer are modeled after systems in the human brain and nervous system.Continue Reading

• Dall-E

  Dall-E is a generative AI technology that enables users to create new images with text to graphics prompts.Continue Reading

• face detection

  Face detection, also called facial detection, is an artificial intelligence (AI)-based computer technology used to find and identify human faces in digital images and video.Continue Reading

• Generative models: VAEs, GANs, diffusion, transformers, NeRFs

  Choosing the right GenAI model for the task requires understanding the techniques each uses and their specific talents. Learn about VAEs, GANs, diffusion, transformers and NerFs.Continue Reading

• deconvolutional networks (deconvolutional neural networks)

  Deconvolutional networks are convolutional neural networks (CNN) that work in a reversed process.Continue Reading

• cognitive modeling

  Cognitive modeling is an area of computer science that deals with simulating human problem-solving and mental processing in a computerized model.Continue Reading

• expert system

  An expert system is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expertise and experience in a particular field.Continue Reading

• transformer model

  A transformer model is a neural network architecture that can automatically transform one type of input into another type of output.Continue Reading

• CNN vs. GAN: How are they different?

  Convolutional neural networks and generative adversarial networks are both deep learning models but differ in how they work and are used. Learn the ins and outs of CNNs and GANs.Continue Reading

• intelligent process automation (IPA)

  Intelligent process automation (IPA) is a combination of technologies used to manage and automate digital processes.Continue Reading

• crypto-agility

  Crypto-agility, or cryptographic agility, is a data encryption practice used by organizations to ensure a rapid response to a cryptographic threat.Continue Reading

• GitHub Copilot vs. ChatGPT: How do they compare?

  GitHub Copilot and ChatGPT are generative AI tools that can help coders be more productive. Learn about their strengths, weaknesses and optimal use cases.Continue Reading

• neural radiance field (NeRF)

  Neural radiance fields (NeRF) are a technique that generates 3D representations of an object or scene from 2D images by using advanced machine learning.Continue Reading

• How to detect AI-generated content

  AI- or human-generated? To test their reliability, six popular generative AI detectors were asked to judge three pieces of content. The one they got wrong may surprise you.Continue Reading

• What do large language models do in AI?

  To capitalize on generative AI, business IT leaders must understand the features of large language models.Continue Reading

• sustainable AI

  Sustainable AI is the use of artificial intelligence systems that operate in ways contingent with sustainable business practices.Continue Reading

• robo-advisor

  A robo-advisor is a virtual financial advisor powered by artificial intelligence (AI) that employs an algorithm to deliver an automated selection of financial advisory services.Continue Reading

• artificial intelligence (AI)

  Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systemsContinue Reading

• assistive technology (adaptive technology)

  Assistive technology is a set of devices intended to help people who have disabilities.Continue Reading

• GPT-3

  GPT-3, or the third-generation Generative Pre-trained Transformer, is a neural network machine learning model trained using internet data to generate any type of text.Continue Reading

• generative modeling

  Generative modeling is the use of artificial intelligence (AI), statistics and probability in applications to produce a representation or abstraction of observed phenomena or target variables that can be calculated from observations.Continue Reading

• OpenAI

  OpenAI is a private research laboratory that aims to develop and direct artificial intelligence (AI) in ways that benefit humanity as a whole.Continue Reading

• How AI has cemented its role in telemedicine

  Many healthcare clinicians rely on AI when performing daily tasks and see benefits that outweigh the drawbacks.Continue Reading

• Artificial Intelligence as a Service (AIaaS)

  Artificial Intelligence as a Service (AIaaS) is the third-party offering of artificial intelligence (AI) outsourcing.Continue Reading

• image recognition

  Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in digital images.Continue Reading

• lemmatization

  Lemmatization is the process of grouping together different inflected forms of the same word.Continue Reading

• Exploring GPT-3 architecture

  With 175 billion parameters, GPT-3 is one of the largest and most well-known neural networks available for natural language applications. Learn why people are so pumped about it.Continue Reading

• artificial superintelligence (ASI)

  Artificial superintelligence (ASI) is a software-based system with intellectual powers beyond those of humans across a comprehensive range of categories and fields of endeavor.Continue Reading

• generative adversarial network (GAN)

  A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete with each other by using deep learning methods to become more accurate in their predictions.Continue Reading

• How AI serves as a cornerstone of Industry 4.0

  For manufacturing environments to be included in Industry 4.0, they must adopt up-to-date technologies to improve operations. AI should be foremost among them.Continue Reading

• reinforcement learning

  Reinforcement learning is a machine learning training method based on rewarding desired behaviors and/or punishing undesired ones.Continue Reading

• 4 main types of artificial intelligence: Explained

  AI technology can exceed human performance in many areas, but it is still no match for the human brain. Learn about the four main types of AI.Continue Reading

• self-driving car (autonomous car or driverless car)

  A self-driving car (sometimes called an autonomous car or driverless car) is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator.Continue Reading

• natural language processing (NLP)

  Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken and written -- referred to as natural language.Continue Reading

• adversarial machine learning

  Adversarial machine learning is a technique used in machine learning to fool or misguide a model with malicious input.Continue Reading

• Recent developments show us the future of chatbots

  Experts in conversational AI are optimistic about what recent advancements in chatbot technology mean for the future. Despite challenges, these advancements can point the way forward.Continue Reading

• How AI can assist industries in environmental protection efforts

  While technology for environmental protection isn't a new concept, AI advancements empower businesses to achieve sustainable operations.Continue Reading

• How significant is AI's role in Industry 4.0?

  Many examples exist to demonstrate the effectiveness of AI in Industry 4.0. It entails the newest revolution in manufacturing, so naturally advanced tech like AI will play a crucial role.Continue Reading

• facial recognition

  Facial recognition is a category of biometric software that maps an individual's facial features mathematically and stores the data as a faceprint.Continue Reading

• 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."Continue Reading

• robotic surgery (robot-assisted surgery)

  Robotic surgery is the use of computer technologies working in conjunction with robot systems to perform medical procedures.Continue Reading

• social robot

  A social robot is an artificial intelligence (AI) system that is designed to interact with humans and other robots.Continue Reading

• PyTorch

  PyTorch is an open source machine learning (ML) framework based on the Python programming language and the Torch library.Continue Reading

• algorithmic transparency

  Algorithmic transparency is openness about the purpose, structure and underlying actions of the algorithms used to search for, process and deliver information.Continue Reading

• How AI in weather prediction can aid human intelligence

  AI and machine learning models are becoming more widely used in climate prediction and disaster preparedness to aid experts without replacing them.Continue Reading

• Why and when to consider a feature store in machine learning

  Feature stores exist to make data for training machine learning models reusable. Explore both the benefits and challenges of feature stores that organizations can experience.Continue Reading

• data scientist

  A data scientist is an analytics professional who is responsible for collecting, analyzing and interpreting data to help drive decision-making in an organization.Continue Reading

• Industries leading the way in conversational AI

  Learn how companies in vertical markets are using conversational AI and even partnering with AI developers for software that's tailored to their unique business needs.Continue Reading

• backpropagation algorithm

  Backpropagation, or backward propagation of errors, is an algorithm that is designed to test for errors working back from output nodes to input nodes.Continue Reading

• The white-box model approach aims for interpretable AI

  The white-box model approach to machine learning makes AI interpretable since algorithms are easy to understand. Ajay Thampi, author of 'Interpretable AI,' explains this approach.Continue Reading

• AI winter

  AI winter is a quiet period for artificial intelligence research and development.Continue Reading

• machine vision

  Machine vision is the ability of a computer to see; it employs one or more video cameras, analog-to-digital conversion (ADC) and digital signal processing (DSP).Continue Reading

• How enterprises can establish an AI-first data strategy

  Enterprises looking to mature in their use of AI must focus on the information they're putting into their models. Their models should create trust in their business.Continue Reading

• How hybrid chatbots improve customer experience

  Hybrid chatbots combine human intelligence with AI used in standard chatbots to improve customer experience. Learn how industries are using them to engage with customers.Continue Reading

• Weighing quantum AI's business potential

  Quantum AI has the potential to revolutionize business computing, but logistic complexities create sizeable obstacles for near-term adoption and success.Continue Reading

• knowledge engineering

  Knowledge engineering is a field of artificial intelligence (AI) that tries to emulate the judgment and behavior of a human expert in a given field.Continue Reading

• data splitting

  Data splitting is when data is divided into two or more subsets. Typically, with a two-part split, one part is used to evaluate or test the data and the other for training the model.Continue Reading

• Stochastic point processes and their practical value

  Data scientists learn and utilize stochastic point processes for myriad pragmatic uses. Data scientist Vincent Granville explains this in his new book.Continue Reading

• computational linguistics (CL)

  Computational linguistics (CL) is the application of computer science to the analysis and comprehension of written and spoken language.Continue Reading

• How AI ethics is the cornerstone of governance

  The concept of AI ethics ensures that AI systems provide accuracy and reliability. Businesses will benefit from adopting AI ethics strategies of their own.Continue Reading

• cognitive computing

  Cognitive computing is the use of computerized models to simulate the human thought process in complex situations where the answers may be ambiguous and uncertain.Continue Reading

• Learn the benefits of interpretable machine learning

  In this excerpt from 'Interpretable Machine Learning with Python,' read how machine learning models and algorithms add value when they are both interpretable and explainable.Continue Reading

• predictive modeling

  Predictive modeling is a mathematical process used to predict future events or outcomes by analyzing patterns in a given set of input data.Continue Reading

• Tips and tricks for deploying TinyML

  A typical TinyML deployment has many software and hardware requirements, and there are best practices that developers should be aware of to help simplify this complicated process.Continue Reading

• edge AI

  Edge artificial intelligence (edge AI) is a paradigm for crafting AI workflows that span centralized data centers (the cloud) and devices outside the cloud that are closer to humans and physical things (the edge).Continue Reading

• telepresence robot

  A telepresence robot is a remote-controlled, wheeled device that has wireless internet connectivity.Continue Reading