For Facebook, AI is a way to improve the user experience and create new experiences. The company says it needs to develop “the most efficient AI system on the planet” to handle billions of posts, comments and photos every day.

But talent and expertise in AI are scarce, especially in deep learning. Even giants like Facebook have been feeling the pressure to hire.

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 information robot, editing robot, writing robot 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.

Incidentally, Some time ago, Kaifu Lee compared foreign Google, Facebook, Microsoft, Amazon and DOMESTIC BAT as the “seven black holes” of AI talents, swallowing up all the talents in the industry. Even so, people, technology and data are nowhere near satisfying the titans’ appetites.



The job market for AI engineers has been carved up, but companies need more.

Around the world, universities are offering majors and courses in AI, machine learning and data science. But this is only part of the problem: Lei Feng understands that many engineers today lack first-hand experience and experience in AI development in real business environments.

In an effort to bridge the skills gap, Facebook last night announced the creation of the Facebook AI Academy, which will provide free AI training to employees within the company.

Facebook said:

“We firmly believe that innovation is based on education. By providing our engineers with cutting-edge AI training, Facebook is able to deploy more deep learning specialists across the company’s lines of business. Right now, Facebook has more than 40 technical teams, and more than 25 percent of its engineers use AI in their products and services. We want to increase that number even more.”

The training for Facebook AI Academy is divided into two parts. The first part is a deep learning course that requires hands-on learning. Designed by Larry Zitnick, one of the heads of Facebook’s AI Research Lab (FAIR), and other top experts, the course allows engineers across Facebook to learn directly from FAIR experts. The school’s courses cover topics such as the deep learning foundation CNN\RNN and related topics of enhanced learning. A suite of six classes combines academic theory with hands-on development of deep learning models in the lab.

The second part is to give students more in-depth hands-on experience. Facebook created an AI Immersion Program (project name: “Immerse in AI”). The program offers engineers the chance to work at FAIR for a year or two. During this time, they will work with the industry’s top experts on research projects in various fields, including deep learning, computer vision, natural language processing, speech, reasoning, and more. “After graduation,” engineers leave the FAIR team to apply their knowledge to other Technical teams at Facebook, such as Applied Machine Learning and the Newsfeed division. The goal is not only to spread AI expertise throughout the company, but also to create a better collaborative and shared community atmosphere between FAIR and the rest of the company.

According to Lei Feng (public account: Lei Feng), the AI Academy training program on Facebook has been very popular. There are so many people who want to take classes that the courses are oversubscribed, and the feedback is very positive. It’s also a great opportunity for FAIR’s researchers to learn from and network with technical experts in various fields. AI technology research has become extremely complex, requiring efficient software platforms, massive computing clusters, and massive data resources. Therefore, doing cutting-edge AI research requires excellent engineering development talent. The AI Academy provides a tight link to Facebook’s technical talent pool.

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.

Finally, Facebook said:

“We know that to speed up the progress of the project and ensure that the flow of engineering talent; Maintaining a vibrant academic research community is critical. FAIR has been making open source software and hardware available to the AI developer community around the world as part of Facebook’s open thinking. Some of our open source tools are here. “The Facebook AI Academy is currently only available to technical staff within Facebook, but we continue to evaluate opportunities to share our knowledge with the wider academic community.”

That last sentence gives us hope: Maybe one day, the whole world will be able to listen to FAIR Bull for free.