According to a tweet by Zo ë Schiffer, the author of the verge, a foreign media, Ian goodflow, the father of Gan, the director of machine learning of apple, will leave apple. In his instructions to employees, Ian wrote, "I believe strongly that more flexibility would have been the best policy for my team.".
Photo note: Ian goodflow author | Wang Yue editor | Chen Caixian < a href = "" target = "_blank" >
Photo note: foreign media reporters tweeted the news
So Ian left Apple Part of the reason (and perhaps even a large part of the reason) is dissatisfaction with the return to work policy.
According to Apple's recently announced resumption policy, employees need to return to the office from April 11. At first, employees only need to return to the office one day a week and work at home the rest of the time, but as time goes on, employees should gradually increase the time back to the office. Work in the office for at least two days by May 2 and at least three days after May 23.
For employees who are used to telecommuting during the epidemic and have found a balance between telecommuting and life, it is understandable that they do not adapt to the intensive rework arrangement. Moreover, considering the commuting problem and the possibility of virus infection, how the company arranges to return to work has become an important issue in the post epidemic era.
1ian Goodfellow
Ian goodflow, undergraduate and master, studied at Stanford University. His mentor is Wu Enda, who is well-known in academic circles; At the doctoral stage, he studied machine learning at the University of Montreal under the guidance of yoshua bengio, one of the "deep learning troikas".
Note: Ian goodflower
The reason why he is regarded as a top expert in the field of artificial intelligence at a young age is that he proposed generative confrontation networks (Gans), known as the father of GaN. As one of the most popular deep learning models, GaN has become the most talked about topic in the field of machine learning in recent years.
Derived from Ian Goodfellow's drunken genius, Gan is naturally topical:
Gan contains two models, one is the generative model and the other is the discriminant model. The task of generating the model is to generate instances that look natural and real and similar to the original data. The task of discriminant model is to judge whether a given instance looks natural or artificial.
This left-right struggle has gradually evolved into a more and more powerful ability of data fraud, which not only opens the door to the new world, but also raises many ethical problems. For example, the foreign netizen "deepfakes" replaces the faces of stars and celebrities into indecent videos, or falsifies news with the faces of public figures, so as to spread rumors or arouse public opinion.
As a too powerful existence, Gan is like a double-edged sword. It can always attract the attention of the whole world whether it is put or put.
Note: Ian Goodfellow's Google Scholar page
The above picture shows Ian's Google academic page. You can see that his thesis has a citation of more than 180000.
Gan alone ranks first, with more than 40000 citations.
Deep learning, ranked second, is a basic book on artificial intelligence jointly launched by Ian, his doctoral director yoshua bengio and Aaron Courville. At present, it has been regarded as a required reading for machine learning.
Note: deep learning entity book
With so many dazzling achievements, Ian left apple this time because of the resumption policy. What is hidden in his chic may be the future he has long planned.
Let's wait and see.