请为我翻译一下以下的句子：随着人工智能AI技术的不断发展计算机处理水平也在不断变革。人工智能的发展一方面推动了计算机处理水平的提升另一方面也受到计算机处理水平的制约两者相互作用推动了彼此的发展。在人工智能发展的早期阶段计算机处理水平主要是指计算机的运算速度和存储容量等硬件指标。计算机的运算速度越快存储容量越大就能处理更复杂的数据和算法从而提高人工智能的效率和精度。因此计算机处理水平的提升一方面依赖

With the continuous development of Artificial Intelligence (AI) technology, the level of computer processing is also constantly changing. On the one hand, the development of AI promotes the improvement of the level of computer processing, and on the other hand, it is also limited by the level of computer processing, and the interaction between the two promotes each other's development.

In the early stages of AI development, the level of computer processing mainly referred to hardware indicators such as computer processing speed and storage capacity. The faster the computer processing speed and the larger the storage capacity, the more complex data and algorithms it can handle, thereby improving the efficiency and accuracy of AI. Therefore, the improvement of computer processing level depends on the progress of hardware technology on the one hand, and the support of corresponding software algorithms and optimization technology on the other hand.

With the continuous development of AI technology, the meaning of computer processing level has also changed. Now, computer processing level no longer only refers to hardware indicators, but includes more aspects, such as natural language processing, machine learning, and deep learning. The development of these technologies enables computers to understand and process human language and behavior more intelligently, thereby achieving more complex tasks and functions.

In addition, the development of AI technology has also promoted the further improvement of computer processing level. For example, deep learning, a machine learning technology that mimics the structure and working mode of the human neural network, enables computers to have the ability of self-learning and self-adaptation through training with large amounts of data, thus achieving intelligent applications.

Deep learning requires a large amount of data and powerful computing power to train and optimize neural network models. As the infrastructure for deep learning, computers provide powerful computing and storage capabilities, enabling rapid development and application of deep learning.

Through high-speed processors, large-capacity storage, and high-speed network connections, computers support the training and inference of deep learning algorithms, thereby realizing the application of AI technology. At the same time, the continuous progress of computer technology provides stronger support for deep learning, promoting the rapid development and extensive application of AI.

In summary, the process of computer processing level changing with the development of AI is a mutually promoting and evolving process. The improvement of computer processing level provides a better foundation and support for the further development of AI technology, and the development of AI technology also promotes the continuous improvement and innovation of computer processing level