Netease Smart News May 12 news, previously, Bitmoji can easily select a representative for the user, and then the characters are well integrated together to make expression, even if the results in all aspects are very bad.
Fortunately, Google has just made a very good alternative for Bitmoji. Unfortunately, this new system can only be used for Allo (Google's communications software).
This system has no name and measures your basic style by taking a selfie: hair, pupil color, skin color, face, hat, and so on. Then, it constructed a face from the work of Google's "resident artist" Lamar Abrams. To be honest, I like to exaggerate the character style, which is different from the expression in Bitmoji or emoji.
The expression can be set according to different preferences, but I think at least it looks much better than the stupid Bitmoji. It creates enough features to create "more than 563 trillion facial expression combinations" so you may be able to tease people from time to time. You can use props and backgrounds to further increase your choice - it's not just a face.
How did Google create this cool system? Obviously, this is a problem that researchers have encountered while browsing existing machine learning systems: “We have found that in social networks, there are always some people who are very good at concentrating on things that they have not explicitly contacted. And these things seem to be useful for creating personalized stickers," the system's blog writes, drawing a face to robots who know us better than us, or at least better than Bitmoji.
But in fact, it is based on inclusive thinking to promote this. The fact is that no matter how much shadow they add to the emoji, you can do a lot of customization in these tiny, maverick characters.
Google made it clear that people want to represent themselves rather than choose to be represented by others who are close to them. Its nature is subjective. The United States defines it based on race, culture, and class. It can lead to unconsciously creating exclusionary regions. . Therefore, we strive to create a space for all races, ages, men and women. Our team will continue to evaluate the results of the study to prevent prejudice when the system is running.
This is a very normal emotion for humans, but we should not be surprised: Google can confess the possibility of prejudice in the machine learning system, and how to resist it or implant inclusive programs from the beginning, so this system has great Staying creative, reliable execution, and convincing reasons. So what's the problem? Of course, the problem is that it only works in Allo, and now only Android can use it.
I don't know how many people are using Allo, but this pretty good sticker manufacturing system is not enough to replace the existing system. I hope that Google can free this bottleneck from the bottleneck and provide this service free of charge to those who do not. People who understand the company's puzzling instant messaging strategy.
English source: Techcrunch Compilation: Machine Xiaoyi Review: Zhou Wensheng
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