她不明白段绍阳的意思。
段绍阳说“视频里是白浅苏10岁的时候做的演讲。”
刘月兴奋地说:“真的吗?我先看看。”
Ladies and gentlemen, dear colleagues! 女士们、先生们,亲爱的同行们!
My name is Bai Qiansu. 我叫白浅苏。
I am very grateful for the opportunity to municate with you about the development trends of artificial intelligence at Harvard University, this academic institution full of an academic atmosphere. 我非常感谢能有机会在哈佛大学,这座充满学术氛围的学府,与大家交流人工智能的发展趋势。
As someone who has been deeply engaged in the study of technology for many years, I have witnessed the development of artificial intelligence up close and am fascinated by its potential. 作为多年来一直深入研究技术的人,我近距离见证了人工智能的发展,并对其潜力深感着迷。
In recent years, artificial intelligence has made significant progress, especially in the fields of deep learning and machine learning. 近年来,人工智能取得了重大进展,特别是在深度学习和机器学习领域。
Neural networks such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have made it possible to identify plex patterns in image, audio data, and text. 像卷积神经网络(CNNs)和循环神经网络(RNNs)这样的神经网络,使识别图像、音频数据和文本中的复杂模式成为可能。
Thanks to a special type of RNN algorithm called long short-term memory (LSTM), models are able to efficiently handle long-term dependencies in time series data, which is crucial for applications such as language translation and time series prediction. 得益于长短期记忆网络(LSTM)这种特殊类型的RNN算法,模型能够高效处理时间序列数据中的长期依赖关系,这在语言翻译和时间序列预测等应用中至关重要。
本小章还未完,请点击下一页继续阅读后面精彩内容!
The development of generative adversarial networks (GANs) has also sparked a revolution in the field of artificial intelligence. 生成对抗网络(GANs)的发展也在人工智能领域引发了一场革命。