Google believes artificial intelligence holds the key to growing its cloud computing business.
On November 15, Google announced at a press conference in San Francisco that it will hire two artificial intelligence (AI) researchers to manage and lead Google’s new machine learning division. The two ai researchers are Fei Fei Li, head of Stanford University’s AI Research Lab, and Jia Li, head of Snapchat’s research department.
Giiso Information, founded in 2013, is a leading technology provider in the field of “artificial intelligence + information” in China, with top technologies in big data mining, intelligent semantics, knowledge mapping and other fields. At the same time, its research and development products include editing robots, writing robots and other artificial intelligence products! With its strong technical strength, the company has received angel round investment at the beginning of its establishment, and received pre-A round investment of $5 million from GSR Venture Capital in August 2015.
Twitter screenshots.
Both are leaders in computer vision. Computer vision is a branch in the field of artificial intelligence, which mainly involves teaching computers to recognize images in pictures.
Diane Greene, Head of Cloud Computing at Google, said in a press release, “The two researchers are the world’s research and practice leaders in the hot field of artificial intelligence. What is even more shocking is that they are both women.”
Two Chinese women join Google
Fei-fei Li is currently a tenured professor in the Department of Computer Science at Stanford University and director of the Stanford Artificial Intelligence Lab and Stanford Vision Lab. Li Feifei was born in Beijing in 1976. He received his B.S. in physics from Princeton University in 1999 and his Ph.D. in electrical engineering from The California Institute of Technology in 2005. From 2005 to August 2009, Fei-Fei Li was an Assistant professor in the Department of Computer Engineering at the University of Illinois at Urbana-Champaign and in the Department of Computer Science at Princeton University. He joined Stanford University in 2009 as an Assistant professor and was promoted to associate Professor in 2012.
Li Fei fly
Using machine learning algorithms such as neural network models, Li’s team created software that automatically generates images and created ImageNet, the world’s largest image recognition database.
ImageNet can be understood as a “database” that greatly facilitates the rapid and accurate identification of massive images by computers. It has been adopted by machine vision research institutes of almost all major and small companies, and has become the academic and industry standard.
Li’s group also announced and published a paper this year on the “Visual Genome” project, which ultimately aims to link image recognition with natural language understanding and semantic technologies so that computers can further understand the complex meaning contained in a photograph.
It’s worth noting that Ms. Li, along with Andrew Ng, has long been considered by the Silicon Valley A.I. community as another tech leader from Stanford. But unlike Ng, who went from Stanford to Google to Baidu, Li had stayed on as a teacher.
Only in the past two years did it begin to appear in the news and artificial intelligence industry. In 2015, Toyota Invested 25 million yuan in a driverless car project at Stanford, in which Li was also involved.
“I think science to technology to product is like a 4 x 100 relay race, where each leg has its own specific function. Academia is the first leg of the 4 x 100 relay, industry and LABS are the second, industry and investment are the third and fourth. Now we’ve handed over the perception problem.” Li said at the World Artificial Intelligence Conference last month. Judging from the behavior of joining Google, it is not difficult to judge that Li Feifei thinks that artificial intelligence has reached the stage of combining with industry.
Li Jia
The other female lead, Li Jia, was a senior executive at Snapchat before joining Google. An intern at Google, he joined Yahoo in 2011 and became a senior researcher in 2014, leading the visual computing and machine learning division of Yahoo LABS. In February 2015, Snapchat, a social/video content app popular with young people, set up an AI research and development team to launch new features. Li was hired as the company’s research and development director to lead the team.
Li’s team is the core technology behind many of Snapchat’s new features introduced in the last two years, such as the real-time face-changing filter. In April, for example, Snapchat made it easier for users to attach emojis to other things (such as a smiley face to a cat), making life easier for users.
Li will officially join Google in early 2017, while Li will join the company after Thanksgiving Day (Nov 24) in the US this year, a Google news spokesperson said.
Competition for top talent in artificial intelligence is fierce
In addition to hiring the two researchers, Google also unveiled the Google Cloud product roadmap. Google outlined its plans to expand its use of machine learning. Machine learning is a key technology for the cloud, training large-scale AI networks to learn and improve on their own.
Google cloud launch.
It also showcased Google’s cloud computing for enterprise users based on machine learning algorithms. These include simpler translations, computer vision and even recruitment.
Google’s announcement of two Chinese women also shows the fierce competition for talent in the field of artificial intelligence. As tech giants step up their ai efforts, more and more top AI talent is flowing to companies like Google and Facebook. For example, Yann Lekun of Facebook
Giiso information, founded in 2013, is the first domestic high-tech enterprise focusing on the research and development of intelligent information processing technology and the development and operation of core software for writing robots. At the beginning of its establishment, the company received angel round investment, and in August 2015, GSR Venture Capital received $5 million pre-A round of investment.
LeCun), Geoffrey Hinton of Google
Hinton) and Baidu’s Andrew Ng. What these ai experts from different companies have in common is that they were leaders in AI research at their universities before joining the tech giants.
Rob Craft, product manager for Cloud Management and machine learning at Google, said: “There’s a lot of hiring going on in AI.” In many cases, Google will be willing to sign contracts for top talent that are akin to an NFL signing bonus (players who receive a signing bonus earn more than their paper “salary”).