原创雅思口语节目
《3分钟学雅思》
节目结合时事以及主流热点
每期节目控制在3分钟左右,碎片化学习
每周更新一期
本期节目话题背景
最近,有同学问了这样一道题“Describe an area of science (biology, robotics, etc.) that you are interested in and would like to learn more about.”。说到这个话题,我可得好好跟你聊聊我最近的新发现了。我越发觉得人工智能真的是太伟大了!特别是当我意识到它真的在我的生活中无处不在的时候。就比如说我在刷手机的时候,它能根据算法来为我推荐我感兴趣的内容。还有最近大火的AI智能,就光是分析数据这一点,就真的为我节省了大量的时间。想知道我和人工智能之间究竟有着怎样的故事吗,那就一起来听我娓娓道来吧!
光是这点,就已经够我对人工智能赞不绝口了。我原来吭哧吭哧要一周才能干完的活,现在3天就能完成了。真的是太了不起了!
本期节目主持人:Sylvia
本期Part 2 话题
Describe an area of science (biology, robotics, etc.) that you are interested in and would like to learn more about.
You should say:
Which area it is:
When and where you came to know this area
How you get information about this area
And explain why you are interested in this area
3分钟学雅思
第十季 Episode 41
本期节目话题参考文本
作者:Stephen
When I was in college I developed a deep fascination for the field of artificial intelligence, which is an area of computer science that revolves around creating intelligent machines and systems capable of performing tasks that typically require human intelligence. Artificial intelligence has been rapidly evolving and is shaping our world in remarkable ways.
One aspect of artificial intelligence that I came across while reading through some encyclopedia articles that particularly intrigues me is machine learning. Machine learning is a subset of artificial intelligence that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It's incredible how machines can analyze vast amounts of data, identify patterns, and make predictions or decisions with incredible accuracy.
I am especially interested in the practical applications of machine learning, such as natural language processing and computer vision. Natural language processing enables computers to understand and interact with human language, which has led to innovations like virtual assistants and language translation tools. On the other hand, computer vision empowers machines to interpret and make sense of visual information, giving rise to self-driving cars, facial recognition technology, and more.
I believe that the potential for machine learning is boundless, and it has the capacity to revolutionize various industries, including healthcare, finance, and transportation. Moreover, understanding the ethical implications and ensuring responsible artificial intelligence development is crucial in this field.
In the future, I aspire to delve deeper into machine learning. It's an ever-evolving area that promises to reshape our world in profound ways, and I am excited to be part of this technological journey.
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