AI algorithms can learn and adapt autonomously from "summary" of The Sentient Machine by Amir Husain
One of the most remarkable abilities of AI algorithms is their capacity to learn and adapt autonomously. This means that they can continuously improve their performance without human intervention. This autonomous learning is made possible by the use of advanced machine learning techniques, such as deep learning, reinforcement learning, and evolutionary algorithms. Deep learning algorithms, for example, are inspired by the way the human brain processes information. They consist of artificial neural networks composed of layers of interconnected nodes that can recognize patterns and make predictions based on data. Through a process known as backpropagation, these algorithms can adjust their parameters in response to feedback, gradually refining their models over time. Reinforcement learning, on the other hand, is based on the idea of trial and error. In this approach, an algorithm learns to perform a task by receiving rewards or penalties based on its actio...
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