人工智能（AI）的底层逻辑是什么？
（一）计算机基础：
计算机基础是人工智能（AI）的底层逻辑。计算机使用二进制方式进行数据储存和处理，即用0和1表示不同的状态，通过电路中的逻辑门实现各种逻辑运算，进而实现计算机的基本功能。
（二）神经网络：
神经网络是人工智能（AI）的核心。它是一种用于模拟生物神经网络的计算方法，可以从大量的数据中学习，并通过相互连接的神经元来识别模式并进行决策。神经网络中包含若干层神经元，每个神经元都是一种数学模型，负责接收和处理信息并向下一层神经元传递信息。
（三）深度学习：
深度学习是一种使用神经网络来学习和解决问题的方法。通过不断地对大量的数据进行迭代训练，逐渐调整神经网络的权重和偏置，以实现更准确和高效的识别和决策。深度学习的成功背后，往往有着庞大的数据集和计算能力的支持。 数字化转型网www.szhzxw.cn
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翻译：
What is the underlying logic of artificial intelligence (AI)?
(1) Computer Basics:
The computer foundation is the underlying logic of artificial intelligence (AI). The computer uses binary mode for data storage and processing, that is, 0 and 1 represent different states, and realizes various logical operations through the logic gate in the circuit, and then realizes the basic function of the computer. 数字化转型网www.szhzxw.cn
(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. 数字化转型网www.szhzxw.cn
(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.
