Chief Scientist, from laundry to Google, she became all American Idol-Li Feifei,, Chief Scientist-IT information

Since the alpha dogs finished things, artificial intelligence has really got a fire.

First Chinese capital and Internet technology rushing headlong into mass action, booing is the media followed again, so everyone is crowding the screen by artificial intelligence topics and news to vomiting.

▼

In response, scientists in the field of artificial intelligence have said that around the world wonder, "Gee, we didn't make any results Ah, AI how suddenly so concerned ... ”

Would like to say that sometimes, impetuous venture capital sector and fashion have a fight. Of course this global storm of publicity is never a clear stream, a top ethnic Chinese woman scientist entered the national vision.

She is one of the world's top scientists,

Not open around the legend of a woman in the field of artificial intelligence.

The youngest tenured professor at Stanford University,

Top journals published more than 100 academic papers on your computer!

She is the artificial intelligence in the world's top scientists,

Head of the Stanford artificial intelligence laboratory,

Li Feifei

▼

OK Google Microsoft image recognition, and Li Feifei is in charge of Stanford.

Recently joined Google announced the Google cloud, Chief Scientist and cause for concern, I have to say, really very few women stand in the first echelon of scientific, but also Chinese American women, stories of legendary women to chop.

A word of English in the United States will not, get 4 hours of sleep every day busy work into school

Li Feifei, born in 1976, was brought by his parents to the United States at age 16, but she is not a rich second generation, mother and father are poor intellectuals, family-minded and optimistic.

▼

First came to the American family does not understand English, father went to repair the camera for others, MOM went to the cashier, she went to the Chinese restaurant workers, were living in those years, but Li Feifei more tired, she would also like to read, and in two years, learn English and go to College.

▼

Li Feifei ever since science and mathematics was so good, to the United States was second to kill classmates, at graduation, she got a whole grade sixth College pick, eventually she chose to provide a full scholarship to Princeton University.

Immigrants to get their children into the school had created a stir in the small town.

▼

After college, she continued the workaholic traits, not only work to save money in college to lend parents opened a laundromat, every weekend home for help.

Give up 100,000 years of Wall Street pay to make Tibetan medicine three years becoming the youngest Professor at Stanford

After graduation in 1999, the employment situation is excellent, she gets an invitation to McKinsey, Goldman Sachs and other Wall Street institutions, from us $100,000 a year, she was confused and then accepted the job, can greatly alleviate parents ' plight, but finally, encouraged by parents was refused.

▼

Crazy family support, she did the thing they like, to study Tibetan medicine a year in Tibet, parents and her own way of life that have opted for a more needy.

A computer to study Tibetan medicine, and why?

Li Feifei grew up longing for truth, she thinks the world is full of Western methodology and philosophy, but what is the truth, then expands into a wider field, she thought about traditional Chinese medicine and Tibetan medicine is the chance to learn about Chinese culture, she said those years in Tibet, it also changed her life.

▼

"The most difficult thing in life is not, how to develop our own potential, should bear responsibility for the life, and worthy of their own dreams." Li Feifei has been balancing the two ends of the scale, loving thing to do, a better life.

▼

Then she can go back to Wall Street jobs, but she is a PhD candidate select and read is very unpopular at that time specialized in artificial intelligence and computational neuroscience.

Studying was very difficult to read, project is too advanced, too little research, but also the lack of money, even once-subsidized projects from the laundry, and mother a stroke at that time and had cancer, research pressure and burdens of life makes people breathe.

▼

"If one more time, I don't think I can stand over. "Li Feifei said.

I don't know about the Alpha Dog, didn't catch up with the Western world, also read the out of control

"They are lively, and I have nothing. "If there is no Li Feifei and decades in the team in the lab to do research, not artificial intelligence.

Li Feifei has always been a people who know what they want, with talent and indomitable willpower, in leading computer journals published more than 100 academic papers. At the age of 33 he obtained tenure-track positions at Stanford, Stanford AI Lab had to offer was not only female, is the youngest Professor in the Department of computer science, now at Stanford University's artificial intelligence Lab Director.

▼

Lab day boring and lonely. To lecture in China this year, she will always be in front of a word: "I don't know about AlphaGo, not chase of the Western world, also read the out of control", she says since dry academic, not very hot, clear objectives, staring at the dry, never mind the air inlet and hot spots.

So she hates answering questions is, AI production flashpoints was asked questions such as, not being an enterprise needs to have research task deadlines, "if I focus, there will be no ImageNet today."

"I learned of the research is, and should be more open in front of eyes. If you see in front of your eyes is hilarious, that is not the best research in this direction. Are not the hot spots as empty, so you have to find its focus. "Li Feifei said.

"Scientists were the least able to follow suit, the pursuit of fashion, scientists must be pursuing principle and original things. ”

In Li Feifei's view, the current pattern recognition and artificial intelligence, still only the equivalent of a babble of the 3-year-olds. From 3 to 10 years old, is the difficulty of AI technology and the key. AI in the future development, will pass the baton to the industrial sector, which is the reason why she joined Google.

But she did not leave Stanford, just use a two-year sabbatical to Google continued to do research. "Academics in the United States there is a tradition, that is, every 7 years, professors can take a vacation, but I haven't took a leave in 12 years in a row. ”

▼

Two years later, she would return to Stanford, and his students together and continue to do research.

"AI now more fire, more cool people do research. "Both publicly and privately, Li Feifei has been emphasized.

If you see in front of your eyes are lively,

That the direction is not always a good direction.

Most difficult thing in life is choosing between love and livelihood,

Everyone in this life,

Both worthy of dreaming and cannot afford the burden of.

从洗衣妹到谷歌首席科学家，她成了所有美国人的偶像 - 李飞飞,,首席科学家 - IT资讯

自从阿尔法狗出来搞完事情以后，人工智能算是彻底火了。

先是中国资本界和互联网科技圈一哄而上，再是媒体也跟着一起起哄，害得大家被人工智能话题和新闻刷屏到想吐。

▼

对此，全球各地人工智能领域的科学家们纷纷表示纳闷：“咦，我们也没做出什么成绩啊，人工智能怎么突然这么受关注。。。”

其实创哥想说，有时候吧，浮躁的创投界是和时尚界有一拼的。当然这股席卷全球的舆论风暴里也刮出了一股清流，让一位全球顶级华裔女科学家进入了国民的视野。

她是全球十大顶级科学家之一，

人工智能领域绕不开的传奇女人。

也是斯坦福大学最年轻的终身教授，

顶级计算机期刊上发表超过100篇学术论文！

她就是世界人工智能顶级科学家，

斯坦福的人工智能实验室负责人，

李飞飞

▼

谷歌微软的图像识别行不行，还得斯坦福的李飞飞说了算。

前一阵子因为宣布加入谷歌成为谷歌云首席科学家而备受关注，不得不承认，真的很少有女性能站在科学的第一梯队，而且还是华裔女性，这样传奇女子的故事必须扒啊。

到了美国一句英语不会，天天睡4个小时忙打工却考进名校

李飞飞，1976年出生，16岁就被父母带去了美国生活，但她并不是富二代，母亲和父亲都是清贫的知识分子，全家思想开明又乐观。

▼

刚到美国全家都不懂英语，爸爸就去给别人修相机，妈妈就去当收银员，她去中国餐厅打工，那些年都在为生计奔波，但李飞飞还要更累，她还要读书，还要在两年时间里，学好英语并考上大学。

▼

李飞飞从小理科和数学就很牛逼，到了美国更是秒杀同班同学，毕业时，她考了全年级第六，好大学随便挑，最终她选择了能提供全额奖学金的普林斯顿大学。

移民小孩考入名校当时还轰动了整个小镇。

▼

上大学后，她依然延续了拼命三郎的特质，不仅在大学里打工攒钱借钱给父母开了家洗衣店，每到周末都回去给家里帮忙。

放弃华尔街十万年薪去做藏医，三年成为斯坦福最年轻教授

1999年毕业后，就业形势一片大好，她得到了麦肯锡、高盛等多家华尔街机构的邀请，年薪十万美元起，当时她很纠结，接受这份工作，就可以极大缓解父母困境，但最后在父母的鼓励下还是拒绝了。

▼

在全家的疯狂支持下，她干了自己喜欢的事儿，去西藏研究一年藏药，父母和她自己都选择了一条更清贫的人生路。

一个学计算机的会去研究藏药，为什么？

李飞飞从小就向往真理，她认为全世界充斥着西方的方法论和哲学思想，但真理是什么呢，于是想往更宽广的场域扩展，她认为了解中医和藏医就是了解中国文化的机会，她说西藏那些年，确实也改变了她的人生。

▼

“人生最难的不就是，如何发挥我们自己的潜力，既要担待得起生活的责任，又要对得起自己的梦想吗”。李飞飞一直在平衡着天平的两端，热爱的事情要做，更好的生活也要过。

▼

后来她本可以回去华尔街做高薪工作，但她又一次选择了读博士，而且读的是当时非常冷门的专业人工智能和计算机神经科学。

读研读得相当辛苦，项目太前沿，研究成果太少，而且还缺钱，甚至一度从洗衣店里贴补项目，而且那个时候母亲还中风，并且患上了癌症，科研压力加生活的重担压得人喘不过气。

▼

“如果再来一次，我不认为我还能挺得过来。”李飞飞说。

我不了解阿尔法狗，没追过《西部世界》，也没读过《失控》

“热闹是他们的，我什么也没有。”如果没有李飞飞和团队数十年如一日在泡在实验室里做研究，就没有如今人工智能。

李飞飞一直都是个知道自己要什么的人，凭着天赋和顽强的毅力，在一流计算机期刊上发表合计超过100篇学术论文。33岁时便获得了斯坦福的终身教授职位，不仅是斯坦福AI实验室唯一的女性，也是计算机系最年轻的教授，现在担任斯坦福大学人工智能实验室总负责人。

▼

实验室里的日子枯燥又寂寞。今年来中国做演讲时她总是会把一句话说在前面：“我不了解AlphaGo，没追过《西部世界》，也没读过《失控》”，她说自从干了学术，就不怎么关注热点了，明确目标后，盯着就干，从不考虑风口和热点。

所以她最讨厌回答的问题就是，有人问AI产业的爆发点之类的问题，搞研究不是搞企业需要有任务截止时间，“如果我关注热点，就没有今天的ImageNet”。

“我做研究的心得就是，眼睛看到的前方应该是比较空旷的。如果你眼睛看到的前方是热闹的，那这个方向就不是最好的研究方向。而空旷的地方一般都不是热点，因此你必须找准自己的焦点。”李飞飞说。

“科学家是最不能跟风、追求时尚的，科学家一定是追求原则性和原创性的东西。”

在李飞飞看来，目前的图像识别与人工智能，还只相当于一个牙牙学语的3岁儿童。而从3岁到10岁的过程，才是AI技术的难点和关键。未来的AI开发，将交棒给工业界，这也是她加入谷歌的原因。

但她自己并没有离开斯坦福，只是利用两年学术假去Google继续搞研究。“在美国学术界有个传统，那就是每7年教授可以休一次假，但我已经连续教学12年没修过假了。”

▼

两年后她表示还会回到斯坦福，和自己的学生在一起，继续做研究。

“人工智能现在越火，越希望冷静做研究的人。”无论是公开和私底下，李飞飞一直这样强调。

如果你眼睛看到的前方是热闹的，

那这个方向就不一定是好的方向。

人生最难的就是在热爱和生计之间做选择，

愿每个人这一生，

既对得起梦想又担得起生活的责任。