Decentralised analytics and Chinese AI chips
Good Day! This is my weekly newsletter, with a dose of insights into the future. The topic of this newsletter is the exponential times we live in, hence the title of f(x) = e^x, which is the (natural) exponential function.
Recently, I launched my new concept The Digital Speaker and you can now book me as an avatar or hologram. Also, my tech trend prediction for 2021 is out, read it here!
Online Reputation: How Sesame Credit Changes the Concept of Privacy
My latest article:
The internet has a problem. On the one hand, we have the ‘Western internet' where everyone can do as they like, where you can be anonymous and say/do whatever you want, but where reputation and online trust is difficult. On the other hand, we have the ‘Chinese internet', where every action you do is recorded and contributes positively or negatively to your reputation. However, privacy is non-existent. None of these two internets is ideal. But what are some of the lessons we can learn from China's social credit scoring system Sesame Credit?
Three Useful Nuggets of Information
My weekly tips from around the web to get you thinking.
1. AI works together to beat humans, in a game.
Researchers at OpenAI have developed algorithms that are capable of working together in complex situations, such as in the popular and complicated video game Dota 2. The five algorithms used neural networks to collaborate and beat amateur players, in testing. (TR)
2. Watching the World Cup? What about the RoboCup?
The World Cup is well on its way in Russia, but in the meantime, students were taking part in the Robo World Cup in Montreal. The annual contest to build and program teams of soccer-playing robots and while the Dutch don’t take part in Russia, they did win the RoboCup. (Motherboard)
3. How to choose the right machine learning tool?
Machine learning is difficult. Some say it is an art; others say it is a science. Whatever you think of it, it is difficult as there is no one solution that fits all. Luckily, there is now a handy article that helps you in selecting the right machine learning tool. (Hackernoon)
