Shulou(Shulou.com)06/02 Report--

If you want to talk about the hot words in the science and technology circle, "artificial intelligence" must occupy a seat.

However, although it is the cutting edge of modern technology, most people may not be able to understand it.

What's more, when entrepreneurs or bosses discuss "artificial intelligence", they often bring "machine learning" and "deep learning".

What on earth is "artificial intelligence"?

What the hell is "machine learning"?

You know and I know the word "deep learning".

But together, I don't seem to understand...

In order to make you a qualified scientific and technological intellectual

Today, let's figure out what they are.

Let's start with "artificial intelligence", the familiar "AI". The term "artificial intelligence" was first coined by cognitive scientist John McCarthy, who wrote, "this study is based on the conjecture that any learning behavior or other intellectual characteristics can in principle be accurately described so that a machine can be built to simulate it." This description still holds true today.

In a broad sense, "artificial intelligence" is a new technical discipline. at present, the Ministry of Education has set up a new artificial intelligence technical service major, and there are many colleges and universities in China that offer this major.

Artificial intelligence describes the ways in which a machine interacts with the world around it. Through the combination of software and hardware-an "artificial intelligence" device can imitate human behavior or perform tasks like a human, such as imitating the human thought process to distinguish between your mother and your girlfriend.

It has been pointed out that the current artificial intelligence is still in "weak artificial intelligence" and can do specific things better than human beings, such as machine vision and speech recognition. Intelligence like Iron Man is "strong artificial intelligence", and it still has a long way to go.

So how do devices with artificial intelligence tell your mother from your girlfriend?

This involves "machine learning".

Machine learning (Machine Learning) is the core of AI and one of the branches of AI.

The basic method of "machine learning" is to analyze a large amount of data through complex algorithms, identify patterns in the data, and make predictions based on them. In other words, the more data you learn, the better the effect will be. It's like the process of human learning-we learn knowledge in school and then apply it in life. It's just that the learning subject of this process is the machine. Through machine learning, a system can constantly correct its own mistakes, thus improving its pattern recognition ability.

I just mentioned that machine learning is through a variety of complex algorithms, and one of these algorithms is "deep learning".

As a major breakthrough in the field of artificial intelligence in the past decade, "deep learning" is the latest field of machine learning, which promotes the great progress of computer intelligence.

Deep Learning (Deep Learning) uses large amounts of data and computing power to simulate deep neural networks, which mimic the connectivity of the human brain, classify data sets and find correlations between them. Through deep learning, machines can process large amounts of data, identify complex patterns, and provide in-depth insights.

Take identifying girlfriends and mothers as an example, traditional machine learning often requires manual adjustment of parameters, so the number of parameters is very limited. "Deep learning" can automatically obtain thousands of parameters from big data and automatically analyze the age, expression, posture and other information of the characters in the image, without human participation in the process.

Simple summary

Artificial intelligence is a broad concept, machine learning is a subset of it; machine learning can achieve artificial intelligence, while deep learning can achieve machine learning, which is a subset of machine learning.

Machine learning VS deep learning

1. Application scenarios

The application of machine learning in fingerprint recognition, feature object detection and other fields basically meets the requirements of commercialization.

Deep learning is mainly used in the fields of character recognition, face technology, semantic analysis, intelligent monitoring and so on. At present, intelligent hardware, education, medical and other industries are also in rapid layout.

Based on the bottom layer of artificial intelligence and big data analysis, Chumi Technology independently developed AI meter intelligent voice system, which uses advanced speech recognition, synthesis and semantic understanding technology to integrate IVR platform, which has been widely used in commercial banks, consumer finance and other scenarios, providing customers with efficient, intelligent and professional comprehensive services.

2. The amount of data required

Machine learning can adapt to various amounts of data, especially in scenarios with small amounts of data.

If the amount of data increases rapidly, then the effect of deep learning will be more prominent, because the deep learning algorithm needs a large amount of data to be understood perfectly.

3. Execution time

Execution time refers to the amount of time required to train the algorithm.

Generally speaking, machine learning requires a very short execution time. Deep learning needs more training time, because the algorithm contains too many parameters.

4. Hardware dependence

For machine learning, ordinary machines are fine. On the other hand, deep learning is more dependent on hardware, and GPU operation is needed in most cases.

Through the above introduction, do you have a clear understanding of the three terms "artificial intelligence, machine learning and deep learning"?

In fact, there are many buzzwords about science and technology, which all represent the analysis of the future technology.

We have reason to believe that machine learning and deep learning will bring exciting and bright prospects for more industries in the future.

For more information on artificial intelligence, welcome to follow the official account SH-Cuimi of Timi Technology.

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