翻译：
What is the underlying logic of artificial intelligence (AI)?
(1) Computer Basics:
人工智能（AI）的底层逻辑，指支撑机器模拟智能行为的计算原理与核心技术层次，由三部分构成：二进制与逻辑门构成计算机基础、神经网络提供模式学习与决策能力、深度学习通过迭代训练调整权重与偏置，解决的是理解机器如何从数据中学习并做出判断的问题；它并不解决模型对海量数据与算力的依赖问题。
(2) Neural network:
Neural networks are at the heart of artificial intelligence (AI). It is a computational method used to simulate biological neural networks that can learn from large amounts of data and use interconnected neurons to recognize patterns and make decisions. A neural network contains several layers of neurons, each of which is a mathematical model responsible for receiving and processing information and passing it on to the next layer of neurons.
(3) Deep Learning:
Deep learning is a method of using neural networks to learn and solve problems. Through continuous iterative training on a large number of data, the weight and bias of the neural network are gradually adjusted to achieve more accurate and efficient recognition and decision-making. The success of deep learning is often supported by huge data sets and computing power.
