考研英语水平的进步，不仅要记单词，还需要阅读外语文献等资料。接下来，小编为2024考研者们，整理出——2024考研英语同源外刊:金融业在人工智能方面的经验，供考生参考。
2024考研英语同源外刊:金融业在人工智能方面的经验
Who are the earliest adopters of new technologies? Cutting-edge stuff tends to be expensive, meaning the answer is often the extremely rich. Early adopters also tend to be incentivised by cut-throat competition to look beyond the status quo. As such, there may be no group more likely to pick up new tools than the uber-rich and hyper-competitive hedge-fund industry.
谁是较早采用新技术的人?尖端的东西往往很昂贵，这意味着往往是极其富有的人较早采用新技术。早期采用新技术的人也往往受到残酷竞争的激励，希望看到超越现状的东西。因此，可能没有哪个群体比超级富豪和竞争激烈的对冲基金行业更有可能掌握新工具了。
This rule appears to hold for artificial intelligence (AI) and machine learning, which were first employed by hedge funds decades ago, well before the recent hype. First came the “quants”, or quantitative investors, who use data and algorithms to pick stocks and place short-term bets on which assets will rise and fall. Two Sigma, a quant fund in New York, has been experimenting with these techniques since its founding in 2001. Man Group, a British outfit with a big quant arm, launched its first machine-learning fund in 2014. AQR Capital Management, from Greenwich, Connecticut, began using AI at around the same time. Then came the rest of the industry. The hedge funds’ experience demonstrates AI’s ability to revolutionise business—but also shows that it takes time to do so, and that progress can be interrupted.
这条规则似乎适用于人工智能和机器学习，对冲基金几十年前就开始使用人工智能和机器学习，远早于近些年对人工智能的炒作。首先出现的是“量化分析家”，或量化投资者，他们利用数据和算法挑选股票，并对哪些资产会上涨或下跌进行短期押注。纽约的量化基金Two Sigma自2001年成立以来一直在试验这些技术。一家拥有庞大量化分析业务的英国机构——英国曼氏集团在2014年推出了首只机器学习基金。来自康涅狄格州格林威治的AQR资本管理公司大约在同一时间开始使用人工智能。然后是该行业的其他公司开始使用人工智能。对冲基金的经历证明了人工智能革新商业的能力——但也表明做到这点是需要时间的，而且发展进程可能会中断。
AI and machine-learning funds seemed like the final step in the march of the robots. Cheap index funds, with stocks picked by algorithms, had already swelled in size, with assets under management eclipsing those of traditional active funds in 2019.
人工智能和机器学习基金似乎是机器人稳步发展的一步。由算法挑选股票的廉价指数基金的规模已经扩大，其管理的资产在2019年超过了传统的主动型基金。
单词
lesson/ˈles(ə)n/ n. 经验，教训;
artificial intelligence 人工智能;
cutting-edge/ˌkʌtɪŋ ˈedʒ/ adj. 领先的;
incentivise/ɪnˈsentɪvaɪz/ vt. 激励;
cut-throat/ˈkʌt θroʊt/ adj. 竞争激烈的;残酷无情的;不公的;
status quo 现状;原来的状况;
as such 从字面意义看;严格说来;
pick up (偶然)得到，听到，学会;
uber-rich/ˈuːbər rɪtʃ/ adj. 极富的;
hyper- 过度;过多;
hedge-fund/ˈhedʒ fʌnd/ 对冲基金;
hold for 适用;
hype/haɪp/ n. 大肆的宣传广告，炒作;(为做广告而进行的)欺骗;
综上是“2024考研英语同源外刊:金融业在人工智能方面的经验”，希望对备战2024考研考生们有所帮助!让我们乘风破浪，终抵彼岸，考研加油!
