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Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
Scientists at the University of California, San Francisco have developed a bilingual brain implant that uses artificial intelligence to help a stroke survivor communicate in Spanish and English ...
This is an alphabetical list of notable technology terms. It includes terms with notable applications in computing, networking, and other technological fields. Contents
The artificial intelligence (AI) boom has brought with it a cornucopia of jargon — from "generative AI" to "synthetic data" — that can be hard to parse. An AI glossary: The words and terms to ...
These agents can interact with users, their environment, or other agents. AI agents are used in various applications, including virtual assistants, chatbots, autonomous vehicles, game-playing systems, and industrial robotics. AI agents operate within the constraints of their programming, available computational resources, and hardware limitations.
In other definitions computer architecture involves instruction set architecture design, microarchitecture design, logic design, and implementation. [61] computer data storage. Also simply storage or memory. A technology consisting of computer components and recording media that are used to retain digital data. Data storage is a core function ...
A good example is the word laser, an acronym for "Light Amplification by Stimulated Emission of Radiation", and therefore all its letters should be capitalized. However, because of frequent use, this acronym became a neologism, i.e., it has integrated into English and most other languages. Consequently, laser is commonly written in small letters.
Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing , machine translation , and natural language generation and can be used as foundation models for other tasks. [ 62 ]