20 Termos Explicados sobre Inteligência Artificial

𝗔𝗜: The overarching world of Artificial Intelligence, transforming industries.

𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴: Remote storage, management, and data processing.

𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜: Making AI decisions transparent and understandable.

𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Applying knowledge for enhanced AI efficiency.

𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Teaching computers with labelled examples.

𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Machines finding patterns without labels.

𝗘𝗱𝗴𝗲 𝗔𝗜: Localised AI for reduced reliance on centralised servers.

𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸: Mimicking human brain functions for learning.

𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴: Extracting patterns and insights from vast datasets.

𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: Core of AI, the building block for intelligent systems.

𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Trial-and-error learning for machines.

𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝗶𝗰 𝗙𝗮𝗶𝗿𝗻𝗲𝘀𝘀: Ensuring fairness and avoiding bias in AI.

𝗡𝗟𝗣: Tech enabling computers to understand human language.

𝗕𝗶𝗴 𝗗𝗮𝘁𝗮:Navigating challenges with massive and diverse data.

𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀: Merging AI with physical machines for automation.

𝗚𝗔𝗡𝘀: AI creating realistic data through adversarial networks.

𝗘𝗱𝗴𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴: Localised AI implementation for efficiency.

𝗔𝗜 𝗘𝘁𝗵𝗶𝗰𝘀: Guiding principles for responsible AI development.

𝗜𝗢𝗧: Devices connected, sharing data for smart applications.

𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Machines interpreting visual information.

𝗖𝗵𝗮𝘁𝗯𝗼𝘁: Conversational AI for customer support and more.

𝗠𝗟: Machine Learning's role in shaping intelligent systems.

𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Neural networks for human-like thinking.

𝗕𝗶𝗮𝘀 𝗶𝗻 𝗔𝗜: Addressing unintentional biases in algorithms.

𝗔𝗜: Inteligência Artificial (IA)

𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝐠: Computação em Nuvem

𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜: IA Explicável

𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻g: Transferência de Conhecimento

𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻g: Aprendizado Supervisionado

𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻g: Aprendizado Não Supervisionado

𝗘𝗱𝗴𝗲 𝗔𝗜: IA de Borda

𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸: Rede Neural

𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻گ: Mineração de Dados

𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: Algoritmo

𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻g: Aprendizado por Reforço

𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝗶𝗰 𝗙𝗮𝗶𝗿𝗻𝗲𝘀𝘀: Justiça Algorítmica

𝗡𝗟𝗣: Processamento de Linguagem Natural (PLN)

𝗕𝗶𝗴 𝗗𝗮𝘁𝗮: Big Data

𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀: Robótica

𝗚𝗔𝗡𝘀: Redes Adversárias Geradoras (RAGs)

𝗘𝗱𝗴𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻g: Computação de Borda

𝗔𝗜 𝗘𝘁𝗵𝗶𝗰𝘀: Ética da IA

𝗜𝗢𝗧: Internet das Coisas (IoT)

𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Visão Computacional

𝗖𝗵𝗮𝘁𝗯𝗼𝘁: Chatbot (Assistente Virtual)

𝗠𝗟: Aprendizado de Máquina (AM)

𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻g: Aprendizado Profundo

𝗕𝗶𝗮𝘀 𝗶𝗻 𝗔𝗜: Viés em IA

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