MAin frame 主架構
historical 沿革
From the original mathematical model architecture, the computer intelligent system has undergone countless frustrations before it can evolve a successful model. The process is almost completely the same as the perspective of human historical evolution.
evolution
The key to the success of system evolution is to learn from setbacks. On the path of continuous evolution, leaving the experience of failure is close to the chance of success.
System Platform
| Version | Description | Establish |
|---|---|---|
| V 1.1 | ATOM Manny humanlize manchine | 2017 |
| Beta 1.0 | Julia robotic system | 2018 |
| V 2.0 | CRX17 Deep Learning machine | 2015 |
| V 3.29 | The Chaos Solution | 2012 |
The Deep learing system
This is a new era of computer systems, specialization, precision and machines with deep thinking ability. In the evolution of multi-level thinking logic, the ability to accurately judge and analyze one by one is the key to intelligent evolution.
Puzzle's answer
In the process of intelligent evolution, the process is often more important than the answer. This is because in fact, many times the answer is not unique. The importance of a fault-tolerant system is to accept errors and accept imperfect answers.
Performance
In the era of computer performance leadership, decision-making speed and stability are often the keys to victory. Having a system of cutting-edge performance to help solve problems is to master the future.
