To what extent is artificial intelligence now?

There are five main areas of AI researchAt the bottom is infrastructureThe larger the data, the stronger the ability of artificial intelligence. One level up is the algorithmAlgorithms such as convolutional neural networks, LSTM sequence learning, Q-learning, and deep learning are all machine learning algorithms. The third layer is the important technical directions and problems, such as computer vision, speech engineering, natural language processing, etc.

There are other similar decision-making systems, such as reinforcement learning, or statistical systems for big data analysis, which can be generated on top of machine learning algorithms. The fourth layer is the specific technology, such as the application of artificial intelligence in finance, medical care, the Internet, transportation and games, etc., this is the value that we care about it can bring.

Artificial intelligence identifies a new planet in space. Google and the University of Texas at Austin have partnered to use machine learning algorithms to analyze data from NASA's Kepler Astronomical Telescope to find a new exoplanet in the Kepler-90 galaxy, named Kepler-90i. ‍‍

Let's talk about the artificial tactile system, which I mentioned before. Professor Zhenan Bao of Stanford University was one of the 35 under the age of 35 in the 2016 MIT Technology Review. She has a technology - artificial ** with sensations, that is, an artificial tactile system, which is particularly good.

The application prospect of this system is still quite wide, such as industrial robots, in the past, the robot hand of industrial robots was hard, and it was easy to crush an egg if you wanted to take it. Now industrial robots are still infants, I don't know how heavy they are, if you have an artificial ** with haptic feedback, then it knows how heavy it is. If you can test the electricity and pressure on the surface of the human body, you can use it as a wearable device to see how comfortable it is, and you can measure it in real time.

Since 2010, the widespread use of deep learning has greatly improved the accuracy of speech recognition, such as Siri, Voice Search, and Echo, which can communicate between different languages, and can speak a passage from speech and then translate it into another script. In 2017, Hanson Robotics packaged voice recognition, facial recognition and other technologies to create the robot Sophia. Sofia can be interviewed by reporters at a press conference and have a simple Q&A with humans.

Recently, two researchers from Bloomberg and Intel created an artificial intelligence system called "AI Programmer" that can generate complete software programs autonomously. Google and Microsoft have also announced that their AI can learn to write through machine learning. ‍‍

Around the year 2000, people began to use machine learning and artificial features to make better computer vision systems. Such as license plate recognition, security, face and other technologies. Deep learning, on the other hand, gradually uses machines instead of humans to learn features, expanding its application scenarios, such as unmanned vehicles, e-commerce, and other fields.

In today's artificial intelligence application of big data, you can understand the content you like and make more accurate recommendations through the articles you have seen before; Analyze the market and conduct quantitative trading; Analyze all the preferences of customers and carry out precise marketing. The machine uses a series of data to identify the most suitable strategies and feed them back to us. ‍‍

Artificial intelligence has recently achieved very remarkable results in speech recognition and speech synthesis. In October 2016, the latest results of speech recognition released by Microsoft Research America achieved a new breakthrough in the error rate, which is the first time that artificial intelligence technology has achieved an error rate similar to that of humans.

Artificial intelligence has also made a lot of strides when it comes to imagesFor example, the imagenet competition for image recognition uses a computer to identify 1000 categories of images in a dataset. In 2015, ResNet, a technology from Microsoft Research Asia, won the 2015 ImageNet championship, and the error rate is, and the human error rate is approximately. Therefore, it can be seen that in a specific field and a specific category, in fact, the ability of computers in image recognition has exceeded the level of humans.

In 2016, we at Microsoft Research Asia made persistent efforts and won the championship in object segmentation, a task that is more difficult than image recognition.

Artificial intelligence has also made great strides in natural language. In December last year, a software released a new feature of Microsoft Translator, which supports more than 50 languages, and can realize real-time translation of multiple people in multiple languages, such as everyone may come from different countries, as long as we hold our mobile phones and use this app, we can communicate with each other. You say a word or type a word, and the other person hears and sees it in his native language. ‍‍

With the development of AI technology, artificial intelligence has slowly penetrated into all aspects of our lives, including smart cities, smart homes, unmanned stove driving, unmanned supermarkets, etc., artificial intelligence has greatly liberated human work and improved people's quality of life. In the next 15 years, 50% of human jobs will be replaced by artificial intelligence. As the speed and accuracy of AI data analysis far exceed that of humans, in the future, some repetitive tasks do not require complex communication with humans, or some data analysis jobs will be replaced by AI.

What professions will be jeopardized by the development of artificial intelligence in the future?

01. Construction and correction workers.

Construction workers do heavy, repetitive tasks every day that can be fully delivered to robots.

The robot wall building is accurate to the centimeter, it can build a wall 1000 fast in an hour, and can build a wall in one minute, in addition to the subsequent installation of wires and pipes, without manual intervention, a house can be built within two days.

02. Full-time driver driving.

According to foreign media reports, it was announced that driverless cars will soon be on the road, and driverless cars are planned to be commercialized within five years. China has also invested heavily in the research and development of unmanned driving technology. It is believed that in the near future, unmanned driving will be popularized in our lives.

03. Courier.

During the shopping festival, a certain east tried to use drones to deliver express mail, which can avoid all kinds of obstacles, can also recognize traffic lights, and can also realize the automatic distribution of routes.

As soon as the machine arrives at its destination, the system sends a text message to the customer, who can pick up the goods in a variety of ways.

04. Bank counter staff.

Bank ATMs have replaced most of the work of clerks, and you can easily do most of the work as long as you hold your ID card in front of the ATM.

The self-service teller machine is more efficient, which greatly saves the waiting time of users.

05. Translation.

06. Warehouse manager.

The warehouse can fully automate the incoming and outgoing tally through intelligent robots, and the efficiency and speed are much higher than that of manual work.

07. Cashier.

With the advent of unmanned supermarkets, after purchasing good goods, you only need to swipe your card like a subway. In the future, many cashier jobs will be replaced by artificial intelligence.

08. Cleaner.

With the advancement of technology, robot vacuums are constantly improving, and these heavy tasks will be replaced by artificial intelligence.

09. Assembly line workers.

For simple, repetitive work, many factories use robots to replace human work, and robots work better and cost less. It didn't take long for many factory assembly line workers to face the danger of losing their jobs.

Artificial intelligence has made significant or significant progress in many areas, but it still has a long way to go. At present, artificial intelligence can already realize a series of tasks such as natural language processing, computer vision, speech recognition, and autonomous driving. In recent years, the development of deep learning technology has made the performance of human intelligence in many fields of Xu Huai more excellent.

In the future, artificial intelligence is expected to play an increasingly important role in healthcare, finance, transportation and other fields, and bring more convenient ways of life and work to human beings.

If AI had human emotions, there would be a huge controversy and disagreement about this hypothesis itself. Because this is already a rather philosophical question. Because artificial intelligence is far superior to humans in terms of computing power, algorithms, and memory.

If AI had human emotions, wouldn't that mean that the intelligence created by humans would far exceed the wisdom of humans? But I don't think it's possible.

Assuming that consciousness can become **, merge with artificial intelligence, break through the shackles of the body, and become another high-risk life, human beings may be freer, but the whooping dream is similar again, AI, development still has to be down-to-earth. Today, the basic applications of artificial intelligence can be found everywhere. For example, we often say that big data knows you better, that is, inferring your preferences through artificial intelligence technology.

In order to achieve this, AI needs to continuously learn information in depth, so deep learning frameworks have emerged, such as Google TF, Pilot, etc.

In a way, the deep learning framework is the operating system of the AI era, just like Windows or Android, which is the basis for connecting the underlying chip to the upper software. Through in-depth learning, the development of technology development and artificial intelligence applications does not need to start from the bottom hardware, but can directly use various models in the framework, just like building blocks, which greatly improves the development efficiency. At present, the technology in the field of artificial intelligence has made another breakthrough, and large models have come into being.

So what is a big model? We all know that data, algorithms, and computing power are the three elements of artificial intelligence. You can think of the model fibre as the brain of the AI.

The smaller the model, the simpler the internal algorithms, the lower the computing power, and the more stupid the brain. Large models rely on hundreds of millions of data stacks, which is equivalent to a more brain loaded with more content, so it is smarter and more effective.

The development of artificial intelligence has come a long way, and here are some of the current developments in artificial intelligence:

1.Machine learning and deep learning: Machine learning and deep learning are currently one of the hottest technologies in the field of artificial intelligence.

By training neural networks to simulate the way the human brain works, machine learning and deep learning technologies have achieved great success in areas such as image recognition, speech recognition, and Lunfeng natural language processing.

2.Natural language processing: Natural language processing technology allows computers to understand and process human language flaws, including text analysis, speech recognition, automatic translation, and more.

With the continuous advancement of natural language processing technology, we can use applications such as intelligent assistants and intelligent customer service to interact with computers more naturally.

3.Robotics: Robotics is also an important branch in the field of artificial intelligence. Through vision, voice, motion control and other technologies, robots can achieve autonomous navigation, item grabbing, human-computer interaction and other functions.

4.Autonomous driving technology: Autonomous driving technology is an important application of artificial intelligence in the field of transportation. Through sensors such as lidar, cameras, and GPS, autonomous vehicles can autonomously perceive their surroundings and make decisions, thereby achieving autonomous driving.

In conclusion, the development of artificial intelligence is accelerating at an alarming rate. In the future, with the continuous innovation and development of technology, artificial intelligence will play an important role in more fields, bringing more convenience and changes to our lives.

At present, AI can only simulate human emotions at a relatively low level, but cannot reach the state of human emotions. ......But if one day AI does have human emotions, the world will change dramatically. Specifically, this is not the same as the previous changes, including the fact that some of people's jobs will be replaced by AI, that they will avoid becoming autonomous beings and become unique beings, and that AI may replace people and become dominant in the field of production.

1. If AI has human emotions, it can replace the dry work that many people are engaged in.

At present, the work of all walks of life is done by people, and AI can only be in a state of auxiliaries. ......However, when AI has human emotions, its intelligence level will be greatly improved, which will enhance its ability and thus have a stronger ability to work. ......As a result, AI will replace jobs in many areas of work and complete those tasks independently.

2. When AI has human emotions, it will become a unique life with autonomous consciousness.

At present, the core point why AI cannot be regarded as life is that AI does not have independent consciousness and emotion. ......However, when AI has human emotions, it means that it will have autonomous consciousness and become a unique life. ......When this happens, it can have a huge impact on our lives.

The consequences are immeasurable.

3. AI with human emotions will likely replace people and dominate the production field.

When AI has human emotions, its capabilities in all aspects will be rapidly improved, especially with the blessing of high-speed computing and analysis capabilities, AI will be more efficient in solving various problems than humans. ......Because of this, AI will replace humans in the production field at that time, and if this happens, the impact and changes on the world will be unpredictable.