AI Infrastructure Definitions

Search Definitions
  • A

    What are AI agents?

    AI agents are autonomous intelligent systems powered by artificial intelligence (AI) and designed to perform specific tasks independently, without the need for human intervention.

  • What is an AI accelerator?

    An AI accelerator is a type of hardware device that can efficiently support AI workloads.

  • What is 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 adopt and use these systems in ethical and responsible ways.

  • What is artificial intelligence as a service (AIaaS)?

    Artificial intelligence as a service (AIaaS) is a cloud-based service that enables organizations to access artificial intelligence (AI) through a third-party offering.

  • B

    What is a backpropagation algorithm?

    A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models.

  • E

    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).

  • 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.

  • G

    What is a generative adversarial network (GAN)?

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

  • What is GenAI? Generative AI explained

    Generative artificial intelligence, or GenAI, uses sophisticated algorithms to organize large, complex data sets into meaningful clusters of information in order to create new content, including text, images and audio, in response to a query or prompt.

  • I

    IBM Watson supercomputer

    Watson was a supercomputer designed and developed by IBM. This advanced computer combined artificial intelligence (AI), automation and sophisticated analytics capabilities to deliver optimal performance as a 'question answering' machine.

  • K

    What is a Kolmogorov-Arnold Network?

    A Kolmogorov-Arnold Network (KAN) is a neural network architecture that dramatically improves the performance and explainability of physics, mathematics and analytics models.

  • L

    What is lemmatization?

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

  • M

    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 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.

  • N

    neural net processor

    A neural net processor is a central processing unit (CPU) that holds the modeled workings of how a human brain operates on a single chip.

  • neurosynaptic chip

    A neurosynaptic chip, also known as a cognitive chip, is a computer processor that is designed to function more like a biological brain than a typical central processing unit (CPU).

  • What is a neural network?

    A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain.

  • What is neural radiance field (NeRF)?

    Neural radiance fields (NeRFs) use deep learning to turn 2D images of objects or scenes into detailed 3D representations by encoding the entire scene into an artificial neural network.

  • 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.

  • P

    What is prompt engineering?

    Prompt engineering is an artificial intelligence (AI) engineering technique that refines large language models (LLMs), with specific prompts and recommended outputs. It also is part of the process of refining input to various generative AI (GenAI) services to generate text or images.

  • R

    Retrieval-Augmented Language Model pre-training

    A Retrieval-Augmented Language Model, also referred to as REALM or RALM, is an artificial intelligence language model designed to retrieve text and then use it to perform question-based tasks.

  • What is a robo-advisor? Everything to know before using one

    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.

  • 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. The goal of responsible AI is to use AI in a safe, trustworthy and ethical fashion.

  • S

    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 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.

  • T

    What is a transformer model?

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

  • V

    What are vision language models (VLMs)?

    Vision language models (VLMs) are a type of artificial intelligence (AI) model that can understand and generate text about images.