2024-05-28 06:00:03
Artificial intelligence, or AI, is a field that is sure to transform the world. But how exactly does it work? To understand it, it helps to imagine AI as an artificial brain, capable of learning and making decisions. Here’s a simple explanation of this process.
Most modern AI uses a technique called “machine learning.” This mimics the human brain.
When a person learns to recognize dogs, he first sees many images of dogs, then instinctively and automatically comes to recognize a dog, without thinking about it. With the tempsshe becomes able to tell if a new image, ever vue previously, represents a dog or not. This is exactly what an AI does, except it does it much faster but with a quantity phenomenal images in learning.
For AI to learn, it uses “neural networks.” These networks are inspired by the neurons in the human brain. An artificial neural network is made up of several layers of interconnected neurons. Each neuron receives information, simply transforms it, and then sends it to the next neurons. By adjusting the connections between these neurons (a process called “training”), the AI becomes more and more accurate.
To learn, AI needs a lot of data. This data can be images, texts, sounds, etc. For example, for an AI to recognize faces, it must first see thousands of photos of faces. The more varied data the AI receives, the better it can learn and adapt to new situations.
For an AI to become good, it needs to train. Training involves running lots of data through the neural network, adjusting the connections between neurons, and repeating this process over and over again. The more the AI trains, the more accurate it becomes in its predictions and decisions.
Once training is complete, when the neural network receives an input, such as an image, the data is passed through the different neurons. Each neuron transforms the information slightly, and this transformation continues through all the layers of the network. Eventually, the network indicates, with a good level of confidence, whether it is a dog, a face, or something else. Thanks to this intensive training, the AI can make accurate predictions based on the characteristics learned during training.
Today, AI is gaining momentum in many areas. It helps doctors diagnose diseases, cars drive themselves, and virtual assistants or chats understand and answer questions. AI promises to revolutionize the way we live and work, and its potential is immense.
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