Everything is connected: sensors, big data, artificial intelligence and how robots relate

Editor's note: Li Jiang, of GSV Capital, sent an article on medium, which proposed the technical field of "A Theory of All" (the germ of modifiable), in which hardware and software evolved in symbiosis and influenced each other.

Most people will talk about the trends of "Internet of Things", "Big Data" and "robots". I want to say that in fact these trends are interconnected and linked into a big trend, just like the "theory of Everything", in which each ring has an effect on the next, and so produces a positive loop.

A variety of connected devices in the sensor will produce a large amount of data, the vast number of data makes machine learning possible, machine learning is the result of AI, and AI guidance robot to more accurately carry out the task, the robot action will trigger the sensor. This whole is a complete loop.

1. Sensor Generation Data

By 2014, devices connected to the Internet exceeded the total population of the world. Cisco predicts that by 2020 there will be 50 billion interconnected devices. Most of these devices will be sensors that can be embedded with Tepco Imp, or with a estimote external sensor.

Sensors in the device produce unprecedented amounts of data.

2. Data Support machine learning

In 2020, 35ZB is expected to produce 44 times times the amount of data in 2009. At the time, data that is structured or more likely to be unstructured can be handled by machines to gain a great deal of insight.

3. Machine learning to improve the AI

Machine learning relies on data processing and pattern recognition, so that computers can learn without programming. Today's massive data and computing power are driving breakthroughs in machine learning.

The sheer power of machine learning can be seen by Google. Google uses machine learning to map the location of every business in France, every house, every street. The whole process takes only 1 hours.

4. Artificial Intelligence directs robot action

As computers have done better in chess and signposts than humans, we have reason to expect more from the future. As more sensors gather more data, which optimizes more machine learning algorithms, we can logically infer that the ability of a computer to perform tasks with a robot will grow exponentially.

5. Robot action

Not only are hundreds of companies making robots that can do all kinds of work, but robots themselves will become more intelligent, and with the help of AI, we can accomplish many of the tasks we dream of.

6. Action Trigger Sensor

The machine takes action to trigger the sensor to collect data, and the whole cycle is complete.

This is what I have come up with in the field of technology "theory of All".

(Responsible editor: Mengyishan)