This was a very well-designed class. Each problem set was lovingly crafted, and each problem helped me understand the material (there weren't any "filler" problems or long derivations where I learned nothing). The lectures were fantastic, and if you didn't like watching lectures, the lecture notes were great too. The class was a lot of work. Each set took one or two days, but there were only four sets in the class.

It explains how they are used in computer vision and NLP and the fundamental differences between the two types of artificial neural networks.

With so much hype surrounding artificial intelligence today, it can be difficult to know where things actually stand. Fortunately, a report (.pdf) issued by a group of AI policy researchers today collates a range of data that helps capture the state of the AI boom. The authors, from MIT, Stanford, and Harvard as well as nonprofits including OpenAI, look at investments, hiring, papers and patents, and even mentions of AI at government meetings. The amount of money being poured into AI startups is remarkable. The number of AI startups (top) is shown on the left, compared with total startups on the right.

Ping An Insurance (Group) Company of China, Ltd is the first joint-stock insurance enterprise in China. It has developed into an integrated services conglomerate that blends its financial services such as finance and insurance, banking, and investment management to create an integrated, compact, and diversified business profile. In 2017, Ping An ranked first among the world's 100 most valuable insurance brands. Ping An Technology was founded in 2008 as a wholly-owned subsidiary of Ping An Group. It is mainly responsible for developing and operating critical platforms and services that support the efficient development of insurance, banking, investment and internet businesses of the Group.