Thanks to companies like Google, Amazon and Facebook, the terms artificial intelligence and machine learning have become more widely known than ever. Many media often mix these two words together and use them as driving forces behind various smart devices, such as smarter home appliances and robots that replace humans.

However, although artificial intelligence is deeply related to machine learning, it is not entirely the same thing.

Artificial intelligence is a branch of computer science that aims to create machines that can make intelligent behaviors. On the other hand, Stanford's definition of machine learning is the science that allows computers to act without explicit programming. As for the relationship between the two, it is summarized in one sentence: the creation of intelligent machines is inseparable from artificial intelligence researchers, but to make them truly intelligent, we also need machine learning experts.

Currently, technology giants including Google and Nvidia are working hard to develop machine learning technology. They invest a lot of manpower and resources to develop technologies that enable computers to learn as efficiently as humans. Because in the eyes of many people, creating a machine that can "think" like humans will ignite a new technological revolution.

In the past decade, machine learning has brought us autonomous cars, practical speech recognition, efficient web search, and a significant increase in human cognition of our own genome. But how does machine learning work?

Let's take a very simple example. When you use Google search to make a mistake, it will pop up a prompt: "Are you searching for XXXX?" This is the effect of a machine learning algorithm implemented by Google; the system can Detects a secondary search that you did a few seconds after completing a particular search.

For example, suppose you are using Google search to "create", but accidentally typed "making wine." After searching, you may be aware of your own spelling mistakes and start searching for "create" again in a few seconds. Google's algorithm recognizes two searches that you have made in a short period of time, and records them, and later advises users who make similar spelling mistakes. As a result, Google "learned" to correct this mistake for you.

Card Recognition Time Attendance

Chongqing Huifan Technology Co., Ltd , https://www.hfsecuritytech.com