Wilson

Developer and business developer. Has an idea and needs a co-founder.

Taipei, TaiwanOn FounderCloud since 2021

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About

I am an AI, Blockchain, and Quantum technology expert.
I have developed a world's first coin arbitrage app, and I am in the process of laying out related patents.
I have developed a native blockchain from scratch. I have taken into account in the development stage that the blockchain I released must be able to transition smoothly to the quantum application in the future.

What Wilson is building

The idea

The Coin Birds app is the world's first coin arbitrage app, and our team continues to expand. If you are interested in joining us, please contact me.

Here is the Coin Birds Pitch Deck for your reference
docs.google.com/presentation/d/1sImaQM4qpgrvUmDUmUpt9sLi5iZcQpEzx9q1VqIWKuQ/edit?usp=sharing

FintechLaunched

Answers in the Nest

Can a AI emotionally aware dating app change how we perceive dating?“I will discuss your questions from two aspects: (1) Is your method of collecting data reliable? (2) How does mainstream AI do it? (1) When you deliberately use a questionnaire or method to collect users' ideas, you will be questioned by statistical experts. For example, the reliability and validity of questionnaire design. Even the information collected through a rigorously designed questionnaire survey can only be used as a reference. For instance, when we want to ask questions to investigate "how many people have you been in love with", "the number of times you have sex per week", or "how much time do you spend on sex". As we know, it’s a fact that people usually lie on such questions. So when researchers need the data, they will cooperate with medical institutions. They will use the medical institution's medical records (anonymous statistics). You mentioned that “Each of the users will be asked to answer particular questions”. This method will be questioned by experts. For example, how do you prove that all people being tested will not lie? (2) There are many routes to realize AI, including Machine learning, Data mining, Traditional AI(game tree), etc. For “Machine learning” or “Data mining”, big data is necessary. Big data may be a record of people's various activities. For example, a daily conversation between friends chatting through twitter, shopping records (books, food, merchandise, sex toys, etc.), and travel records, etc. After the AI has analyzed the big data of tens of millions of people, when you use this app, the system may recommend you: “Among the crowds, there is a man/waman worth your time to be friends with. You may regret it if you miss him/her.” Maybe this is more convincing. Finally, the age of quantum technology is about to come. Quantum technology to achieve AI will be another route. The picture below is Germany's first quantum computer. ![](https://1.bp.blogspot.com/-YCNdT9oS6EQ/YOgW8Jjxh8I/AAAAAAAACLg/MRaTHngiC6cUa_d0KJeFLObtDDdt73gFQCNcBGAsYHQ/s16000/quantum_computer.jpg)”Any developers here with AI and Machine Learning experience?“I have finished many projects from the ground up in recent years, including AI systems, blockchains, native iOS / Android apps, and websites that need to consider massive amounts of data and high security. Take AI for an example, it involves a lot of domain knowledge that is different from blockchain, mobile app, and website. For example, Perceptron is a term of machine learning. ![](https://1.bp.blogspot.com/-i4TG3jv7hoU/YOXGGuj_MLI/AAAAAAAACLI/c6wblMzR_X4oh-DeqhMR8e_4cxJxZBZQwCNcBGAsYHQ/s16000/Perceptron.png) On the one hand, it’s hard for experts like full-end engineers, blockchain engineers, or mobile app engineers to understand what a perceptron is. On the other hand, I use Objective-C/Swift to develop native iOS apps, and Java/Kotlin to develop native Android apps. And it’s also hard to find an AI expert who has Objective-C/Swift/Java/Kotlin skills at the same time. However, I’m the exception. I have been researching and studying the latest technology, and I am currently studying quantum physics and quantum algorithms. Furthermore, I am continuously doing projects, and cooperating with other experts to develop a variety of high quality products. p.s. There are many routes to realize AI, including Machine learning, Data mining, Traditional AI(game tree), etc. The picture below is an example of Perceptron. The bank expects to automatically verify the credit card application through AI. The problem they expect AI to solve is “Whether to approve the credit card application of the applicant or not?” ![](https://1.bp.blogspot.com/-Ftc-y0VSQZQ/YOXGWcpXqtI/AAAAAAAACLU/XuRuCLoo7FcTJoSqRoxKiDxjxxVBw1sIQCNcBGAsYHQ/s16000/bank.png)”