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裴总别虐了,蓝院士要和你离婚了

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第78章 白浅苏的演讲
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她不明白段绍阳的意思。</br>

段绍阳说“视频里是白浅苏10岁的时候做的演讲。”</br>

刘月兴奋地说:“真的吗?我先看看。”</br>

Ladies and gentlemen, dear colleagues! 女士们、先生们,亲爱的同行们!</br>

My name is Bai Qiansu. 我叫白浅苏。</br>

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。</br>

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。</br>

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。</br>

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。</br>

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。</br>

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