Digitization is how we turn things from the real world, like text and sound, into numbers that computers can understand. For text, this might mean scanning a page, using special software to recognize the letters, and then turning those letters into codes (like Unicode) that computers read as numbers. For sound, digitization takes the smooth waves of audio and breaks them into tiny pieces, called samples, then assigns each piece a number to represent its loudness. These numbers can then be shown as patterns, like a picture of sound called a spectrogram. Both text and sound digitization involve tradeoffs: higher quality means bigger files that take up more space, while smaller files are easier to share but may lose detail. Neural networks, which are computer systems designed to learn patterns, depend on digitization to work—without turning words and sounds into numbers, they wouldn’t be able to do things like create automatic captions on TikTok, recognize your voice when you ask Siri a question, or recommend the next song you’ll probably like on Spotify.
Made with the help of AI