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商学院 | 人类未来只能给机器人打下手?

2020-10-30 19:01:05

According to the cover story of New Yorker, “in the future, human beings are only helpers to robots”. It seems that the reality that concerns people the most is approaching in an accelerated pace. But what triggers this conclusion?


New Yorker近期封面文章提出“人类未来只能给机器人打下手”,令全人类最为忧心的现实似乎正在加速到来。究竟是什么事件催生了这样的结论呢?



A report swept all kinds of medias across the world in May 2017, announcing AlphaGo, an AI program, beat Ke Jie, the world champion boasting the top ranking, by 3:0 at China Go Summit, which startled everyone. However, after 5 years, the rise of AlphaGo Zeo took the world by surprise.


2017年5月,一条新闻席卷各大媒体平台:人工智能程序AlphaGo在中国围棋峰会上以3:0的绝对优势击败世界排名第一的围棋冠军柯洁。这个结果当时让我们这些吃瓜群众一片哗然。然而,5个月后AlphaGo Zero(阿法元)的出现可以说是让人措手不及。



The most powerful version in AlphaGo’s evolution, AlphaGo Zero easily defeated AlphaGo by 100:0 after only three days of self-study, without any priori knowledge of human beings. Mr. Jie KE, Chinese Go Master, stated at Weibo that “Being clean, pure and self-learning, AlphaGo is the strongest. Compared to its spontaneous advancement, human beings are redundant”.


AlphaGo Zero(阿法元)是AlphaGo进化后的加强版本:不依靠人类任何先验知识、仅通过短短三天自我学习后,就以100:0的战绩轻松击败了AlphaGo。对此,中国围棋大师柯洁在微博表示“一个纯净、纯粹自我学习的AlphaGo是最强的。对于AlphaGo的自我进步来说,人类太多余了。”



Is that true?

事实真的是这样吗?


AlphaGo Zero beat the original AlphaGo by engaging in-depth self-learning and keeping on breaking through limits. Can we use such reinforcement learning to seek for development and leadership?


AlphaGo Zero自身深度学习、不断突破极限的精神才是其打败了原版AlphaGo的必杀技能,我们是否借鉴这种强化学习法(reinforcement learning)来寻求进步和保持领先的地位呢?


Now, SAIF offers the opportunity to start our show. Forget about AlphaGo and ask yourself, Are you ready to go?


现在,SAIF就给了我们这样的一个机会开始我们的表演,抛开AlphaGo,只想问一句大家“你准备好了吗”?



Organized by Shanghai Jiao Tong University Shanghai Advanced Institute of Finance Master of Finance Program, the International Young Leaders Financial Summit is the first platform designed for academic and practical exchange and interaction in topics related to finance among undergraduates. It seeks to develop the skills of leadership, communicate and organization of the participants, and offers an opportunity to communicate with industry and academic leaders face to face, present your capabilities in a variety of medias, and improve your understanding on academic theories and practices. This year, it will dedicate to two highly anticipated areas of Robo-advisor and Big Data Mining, looking for self-improvement and challenges.

We look forward to your participation and going beyond human limits in reinforcement learning!


由上海交通大学上海高级金融学院金融硕士项目(SAIF MF)主办的国际青年领袖金融高峰会作为全国首个面向高校本科生开展金融学术和实务交流互动的平台,旨在培养学生们的领导力、沟通能力和组织能力,同时也让学生们有机会与行业领军人物和学术泰斗现场对话并在各大媒体上展露风采,提升青年学子们对金融学术和实务的理解。今年的议题正是大家翘首以盼的智能投顾和大数据挖掘领域,期待参赛者们在实践中学习如何不断挑战自我。


最后,欢迎大家踊跃报名,在深度学习中力求突破人类极限的壁垒!


By the way, don’t forget that winners will receive remarkable cash prizes. All teams participating in 2018 IYLFS will receive competition prizes.

2018 高峰会胜出者将获得重量级奖金、所有团队将获得参与奖金;此等消息小编可不会告诉一般人哦!


How to Apply  

  1. Time for application: Nov. 13th to Nov. 30th, 2017 (GMT +8) 

    申请时间: 2017年11月13日至11月30日

    *Please submit a complete online application before deadline.请申请者在报名截止日前提交完整表单。

  2. Who can apply: current undergraduate students. 

    申请资格:所有在校本科生,不限专业,不限年级。

  3. Where to apply: Please click "read more" or scan the code below.

    SAIF MF官方指定唯一报名入口:请点击“阅读原文”,或识别下方二维码

    http://regonline.saif.sjtu.edu.cn/apply/mf/2018iylfs

We welcome undergraduate students from around to world to participate in this competition, and we are sincerely looking forward to seeing you in Shanghai.

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