• Artificial Intelligence (AI) learns from data in a way that is similar to how humans learn from experience . First, AI is given a large amount of data, such as images , text , numbers , or sounds . This data helps the AI understand patterns and relationships.

    AI uses machine learning algorithms to analyze the data . During training, the AI makes predictions and then checks if they are correct . If it makes a mistake, it adjusts its rules to improve next time . This process repeats many times until the AI becomes accurate and reliable .

    There are different ways AI learns:

    Supervised learning: learning with labeled data

    Unsupervised learning: finding patterns without labels

    Reinforcement learning: learning through rewards and penalties

    Over time, AI becomes smarter and can make decisions, recognize speech , identify images , recommend content , and much more .
    https://youtu.be/O_dJ9fxI5FM
    Artificial Intelligence (AI) learns from data in a way that is similar to how humans learn from experience 🧠📚. First, AI is given a large amount of data, such as images đŸ–ŧī¸, text 📝, numbers đŸ”ĸ, or sounds 🎧. This data helps the AI understand patterns and relationships. AI uses machine learning algorithms to analyze the data 🔍. During training, the AI makes predictions and then checks if they are correct ✅❌. If it makes a mistake, it adjusts its rules to improve next time 🔄. This process repeats many times until the AI becomes accurate and reliable đŸŽ¯. There are different ways AI learns: Supervised learning: learning with labeled data đŸˇī¸ Unsupervised learning: finding patterns without labels 🧩 Reinforcement learning: learning through rewards and penalties đŸ†âš ī¸ Over time, AI becomes smarter and can make decisions, recognize speech đŸ—Ŗī¸, identify images đŸ‘ī¸, recommend content 📲, and much more 🚀. https://youtu.be/O_dJ9fxI5FM
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  • In “The Mind-Reading Potential of AI,” Professor Chin-Teng Lin explores how artificial intelligence can interpret human brain signals and emotions using technologies like brain-computer interfaces (BCI), EEG, and machine learning .
    The talk explains how AI can “read” mental states such as focus, stress, and intention—not by magic, but by analyzing brainwave patterns . It also highlights future applications in healthcare, rehabilitation, education, and human-machine interaction, while raising important ethical questions about privacy and consent .
    https://youtu.be/TtpYsFVlQNc
    In “The Mind-Reading Potential of AI,” Professor Chin-Teng Lin explores how artificial intelligence can interpret human brain signals and emotions using technologies like brain-computer interfaces (BCI), EEG, and machine learning đŸ§Ŧ💡. The talk explains how AI can “read” mental states such as focus, stress, and intention—not by magic, but by analyzing brainwave patterns 📊🧠. It also highlights future applications in healthcare, rehabilitation, education, and human-machine interaction, while raising important ethical questions about privacy and consent đŸ”âš–ī¸. https://youtu.be/TtpYsFVlQNc
    0 Reacties 0 aandelen 438 Views
  • In “The Mind-Reading Potential of AI,” Professor Chin-Teng Lin explores how artificial intelligence can interpret human brain signals and emotions using technologies like brain-computer interfaces (BCI), EEG, and machine learning .
    The talk explains how AI can “read” mental states such as focus, stress, and intention—not by magic, but by analyzing brainwave patterns . It also highlights future applications in healthcare, rehabilitation, education, and human-machine interaction, while raising important ethical questions about privacy and consent .
    https://youtu.be/NfLXzoAe6b4
    In “The Mind-Reading Potential of AI,” Professor Chin-Teng Lin explores how artificial intelligence can interpret human brain signals and emotions using technologies like brain-computer interfaces (BCI), EEG, and machine learning đŸ§Ŧ💡. The talk explains how AI can “read” mental states such as focus, stress, and intention—not by magic, but by analyzing brainwave patterns 📊🧠. It also highlights future applications in healthcare, rehabilitation, education, and human-machine interaction, while raising important ethical questions about privacy and consent đŸ”âš–ī¸. https://youtu.be/NfLXzoAe6b4
    0 Reacties 0 aandelen 523 Views