AI Infrastructure Definitions
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A
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.
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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).
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G
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.
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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.
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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.
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L
lemmatization
Lemmatization is the process of grouping together different inflected forms of the same word.
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M
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.
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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.
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neural network
A neural network is a machine learning (ML) model designed to mimic the function and structure of the human brain.
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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.
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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).
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P
prompt engineering
Prompt engineering is an AI engineering technique encompassing the process of refining LLMs with specific prompts and recommended outputs, as well as the process of refining input to various generative AI services to generate text or images.
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R
responsible AI
Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view.
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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.
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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.
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S
singularity
In technology, the singularity describes a hypothetical future where technology growth is out of control and irreversible.