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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