Explosive development of AI technology

In recent years, artificial intelligence technology has made undeniable progress and breakthroughs in various fields, and its core technologies continue to innovate. From the perspective of the underlying technology, AI technology has shown explosive development. Firstly, from the perspective of machine learning, deep learning has become the representative technology of AI. Marked by the win of AlexNet in 2012, the development of neural networks has gone through a process from simple to complex, in which the birth of neural network structures such as ResNet, Inception and DenseNet has greatly improved the depth and effectiveness of the network. At the same time, the improvement of GPU technology and the continuous updating of deep learning frameworks have also provided good support for the optimisation and operation of machine learning algorithms. For example, deep learning frameworks such as TensorFlow and PyTorch have become essential tools in the field of artificial intelligence. Secondly, the development of natural language processing technologies has also attracted widespread attention. For example, the emergence of pre-trained models such as BERT and GPT, which allow tasks such as text classification and machine translation to be performed directly with less training data, has further enhanced the capabilities of natural language processing. In addition, from a data perspective, the large-scale corpus training of language models such as WordNet, Glove and ELMO has accelerated the speed of language pre-processing, thus improving the efficiency of natural language processing.