Paris Saint-Germain is willing to spend 50 million pounds to introduce Maguire?

Paris Saint-Germain is preparing to offer 50 million pounds for Harry Maguire in the summer and bring him to France..

It is reported that Manchester United are willing to break the club record and sign Eduardo Camavinga from Real Madrid for 115 million pounds..

Tottenham Hotspur is facing a struggle to convince Thomas Tuchel to become their new head coach. It is reported that both he and Mauricio Pochettino are the best candidates to succeed Antonio Conte, and Chairman Daniel Levy has reservations about bringing back former head coach Pochettino..

Manchester United has added Mason Mount of Chelsea to the list of attacking midfield targets including ude Bellingham. If Erik ten Hag spends most of his summer budget on bringing in Harry Kane or Victor Osimhen, the summer transfer window will exceed the budget..

The exit of Paris Saint-Germain in the Champions League is likely to prompt the departure of head coaches Christophe Galtier and Sports director Luis Campos..

Considering the cost of living crisis, the soaring business income of Chelsea, the performance of the club this season and the possible impact of the rising ticket fees on the atmosphere of the match day at Stamford Bridge, Chelsea fans warned the club president Todd Boehly that if he decided to raise the ticket price after a bad season at Stamford Bridge, it would cause "irreversible harm" to the fans..

Before Saturday’s game against Brighton, Leeds may get unexpected good news, and striker Rodrigo may play only one month after ankle surgery..

Wolves hope to beat Premier League rivals Tottenham Hotspur and West Ham United and plan to sign Alex Scott of Bristol City for 20 million pounds..

Daniel Levy, chairman of Tottenham Hotspur, will consider a series of candidates to change coaches, including Mauricio Pochettino, who may return to the club, and Luis Enrique, who was fired by Spain after the World Cup. Celtics coach Ange Postecoglou, Brighton coach Roberto De Zerbi and Neapolitan coach Luciano Spalletti..

[Two sessions for 30 seconds] Zhang Boli: Transforming traditional pharmaceutical industries with artificial intelligence.

[Two sessions for 30 seconds] Zhang Boli: Transforming traditional pharmaceutical industries with artificial intelligence.

On March 9th, the Tianjin delegation of the First Session of the 14th National People’s Congress held a group meeting to review the work reports of the Supreme People’s Court and the Supreme People’s Procuratorate. Representatives from Chen Miner, Qin Gang, Zhang Gong, Yu Yunlin and Duan Chunhua attended.

The beauty created by artificial intelligence AI is lifelike. These 30 beautiful pictures are amazing!

The beauty created by artificial intelligence AI is lifelike and amazing!

The beauty created by artificial intelligence AI is really amazing!

The beauty created by artificial intelligence AI is vivid and beautiful!

The beauty created by artificial intelligence AI is so real and amazing!

The beauty drawn by artificial intelligence AI is vivid and amazing!

The beauty drawn by artificial intelligence AI is real and beautiful! It’s amazing!

The beauty drawn by artificial intelligence AI is amazing! Amazing time!

The beauty drawn by artificial intelligence AI is fresh and refined, so amazing!

This may be the appearance of a small jasper, which is the opposite of the image of a good family! ! ! !

Mature, steady, square, atmospheric, it seems that this is the kind of woman!

There are beautiful women in the north, who laugh and pour people into the city, and then laugh and pour people into the country. This is probably the kind of beauty they are talking about!

Clear water produces hibiscus, which is naturally carved.

Clear water produces hibiscus, and it is natural to carve it! Small jasper, good family! Which is better?

Good-looking skins are the same, and there is no interesting soul Wan Li!

Is the skin beautiful or the soul interesting?

Welcome everyone to comment! ! ! ! !

Laundry technology sharing: can ChatGPT make autonomous driving faster?

Recently, the hottest topic in the science and technology circle is "ChatGPT". However, ChatGPT is only an external manifestation, and what deserves more attention is the development of AI technology behind it and its future application.

Some people even describe the changes brought by ChatGPT optimistically: Before ChatGPT, AI was only a module of existing scene products at most. Then, after ChatGPT, AI will redefine the product framework of existing scenarios.

Whether it is as optimists say remains to be seen, but whether autonomous driving, as one of the important scenes of AI landing, will have further development in this wave has still aroused many people’s discussion.

Some people think that autonomous driving needs more graphics, images and data processing ability, requires higher image algorithm, and has little correlation with natural language processing ability. It is not possible to realize autonomous driving with ChatGPT’s ability at present.

Of course, some people think that the appearance of ChatGPT shows us a possibility, that is, trained AI will make high-level autonomous driving expected to appear in a few years.

Why does the progress of AI technology make people pay attention to whether autonomous driving is affected?

Observing the development history of autonomous driving, it is not difficult to find that every major breakthrough of autonomous driving is synchronized with the development of AI technology.

We know that,AI is actually imitating the brain neural network and learning some very humanized skills by analyzing a large amount of data.In 1980s, the first practical application of neural network happened in the field of automatic driving.

In 1987, researchers at Carnegie Mellon Artificial Intelligence Laboratory tried to make a truck that could drive automatically. They manually write codes for all driving behaviors and write as detailed instructions as possible for various situations encountered by trucks on the road, so as to make the vehicles run automatically. But unfortunately, this way can only make the car achieve a speed of several inches per second.

Manual code writing failed, and another doctoral student named Dean pomerleau chose another way: neural network.

He named his system ALVINN. After adopting this system, trucks use the images taken by the roof camera to track what drivers are doing, so as to observe how to learn to drive on the road. In 1991, ALVINN drove from Pittsburgh to Erie, Pennsylvania at a speed of nearly 60 miles per hour.

However, a more direct and broader impact occurred in 2012.

Jeff Hinton, a professor at the University of Toronto, and two of his students, Alex Krzyzewski and Ilya Satsky, won the first prize in the ImageNet image recognition competition, and published a paper introducing the algorithm AlexNet. This paper is not only the turning point of artificial intelligence, but also the turning point of global technology industry.

As the key technology of autonomous driving, target detection and image recognition are highly benefited from the breakthrough of computer vision algorithm. Therefore, with the recognition accuracy of Li Feifei team, director of Stanford Artificial Intelligence Laboratory, surpassing humans for the first time on ImageNet open data set in 2015, autonomous driving, as one of the most important landing scenes of AI, has also entered the fast lane of development.

So, will the appearance of ChatGPT become the Milestone of autonomous driving again?

Generally speaking, AI can be divided into three parts: voice, vision and natural language understanding.The last wave of AI was mainly based on the breakthrough of visual image recognition technology, and this time ChatGPT is a natural language processing technology based on GPT-3 model, which can effectively simulate human language understanding ability, thus helping people better understand and analyze natural language text data.

When we want to discuss what impact ChatGPT will have on autopilot, we think that we should first find out whether autopilot here refers to mass-produced low-level autopilot (assisted driving) or high-level L4 autopilot. Secondly, does ChatGPT refer to a language model or a more generalized generation model?

From the perspective of natural language understanding, ChatGPT has a more direct impact on human-computer interaction in the assisted driving part, but it may not have a great impact on L4-level automatic driving.

Cui Dongshu, secretary-general of the Federation, also wrote in his WeChat WeChat official account that the innovation of human-computer interaction and intelligent cockpit system is very strong, especially the human-computer interaction ability of domestic car companies is very strong. Only China enterprises can understand Chinese more deeply. With the empowerment of the bottom layer in the future, the domestic automobile industry will have more good human-computer interaction effects at the application level.

For example, by using ChatGPT, the vehicle can interact with the driver by voice or text, and provide the driver with real-time feedback on vehicle status and driving information.

Before this, although a large number of in-vehicle interactive systems have appeared, the pain point of the industry mainly focuses on the "understanding" part, and most of the in-vehicle voice interactive systems are not intelligent in "understanding", resulting in a single function and command word of the whole system. ChatGPT’s explosion made the market see the hope of solution.

However, Cui Dongshu, secretary-general of the Federation, also said that,Electrification is the core of new energy vehicles, and intelligence is just icing on the cake. In the future, the core competitiveness of car companies will still be to build electric vehicles, and at the same time make full use of intelligence such as ChatGPT to empower the development of the automobile industry.

Of course, whether it is the core or not, it is not enough to have a technological breakthrough if you want to get on ChatGPT. An AI industry person told Titanium Media that "there are still cost issues, including the use cost, cloud service cost and targeted training cost."

However, from a broader generative model, the generative model with big data and large parameters will help to achieve a higher level of autonomous driving.

He Xiang, a data intelligence scientist at Mimo Zhixing, said in an interview with Titanium Media App that the vehicle-side capabilities mainly include two categories: perception and cognition. The perception ability really relies mainly on image technology, while the cognitive ability relies more on similar generation technology of ChatGPT.

That is to say,ChatGPT’s revolutionary significance lies in: letting AI model enter the era of knowledge and reasoning. At present, the biggest shortcoming of autonomous driving lies in the lack of sufficient intelligence in decision-making planning.

ChatGPT uses a training method called "Human Feedback Reinforcement Learning (RLHF)", and He Xiang, a data intelligence scientist at Mimo Zhixing, explained to Titanium Media APP.GPT is a large-scale universal pre-training language model. GPT1, GPT 2 and GPT 3 mainly improve the parameter scale, while ChatGPT mainly introduces human feedback data for reinforcement learning.

The introduction of this method can ensure the minimum output of useless, distorted or biased information according to human feedback in training.

It happens that there is also a kind of automatic driving decision algorithm called imitation learning, which is to let the machine learn how human drivers do it in different scenarios.

Generally speaking, every takeover by a human driver is an artificial feedback to the autonomous driving strategy; This takeover data can be simply used as a negative sample, which is a record that the autopilot decision is corrected. At the same time, it can also be used as a positive sample to improve cognitive decision-making

"The big model of big data and big parameters can learn more potential knowledge, including different environments and different scenarios, which is equivalent to learning a lot of common sense of autonomous driving. This common sense is very important for autonomous driving decisions." He Xiang, a data intelligence scientist at the end of the year, told Titanium Media App.

That is to say,In the process of autonomous driving research and development, the idea of human feedback reinforcement learning can be used to train a model to verify and evaluate the output of the machine model, so that it can make continuous progress and finally reach the driving level of human beings.

Therefore, it can be said that the improvement of basic ability has brought about the expansion of imagination and applicable scenarios. However, at this stage, we still can’t accurately judge how much change the big model represented by ChatGPT will bring to autonomous driving. An industry person told Titanium Media App that the excellent generalization ability trained by the big model may make there no corner case in the world.

Corner case refers to a small probability event that may occur during driving, but the frequency is extremely low. Although it is rarely encountered at ordinary times, it is likely to lead to a fatal traffic accident when encountering a corner case that cannot make a decision for an autonomous driving system.

The emergence of ChatGPT has made the industry realize that it is possible to gain a higher level of autonomous driving technology by constantly accumulating kilometers and running like this.

In fact, before this, both foreign Tesla and domestic Tucki, Baidu and Mimo Zhixing were already exploring the route of "big model".

In 2020, Tesla announced that it would introduce a large model based on deep neural network into its autonomous driving, and now it has realized a large-scale public beta of pure visual FSD Beta; Tucki expressed the viewpoint of using large models to get through the whole scene of XNGP on the 1024 Science and Technology Day in 2022. Baidu Apollo believes that the Wenxin model will be the core driving force of the elevator’s automatic driving ability.

As early as 2021, Mimo Zhixing announced that it would improve its data processing ability with the help of a large model. On February 17th this year, Mimo Zhixing officially upgraded the large model of human driving self-monitoring cognition to "DriveGPT", which will continue to introduce large-scale real takeover data, and continuously improve the evaluation effect through intensive learning of human driving data feedback. At the same time, it also uses DriveGPT as a cloud evaluation model to evaluate the driving effect of small models at the vehicle end.

However,The development of high-level self-driving cars is a complex multidisciplinary field, involving a wide range of technical and regulatory challenges. The progress of artificial intelligence technology can bring some impetus, but this is not a short-term problem.

It is reported that GPT3.0 involves 170 billion parameters, with more than 300 GB of memory, and the training process costs more than 12 million US dollars. The above-mentioned industry insiders said that the autopilot algorithm is to run in the car. Can such a large model be deployed to the car? How much computing power does it need to support? In addition, autonomous driving can not be completed by repetitive and simple road data stacking, so how to ensure a large amount of data is also a key issue.

The article is reproduced from the titanium media. The opinions in the article are only for sharing and communication, and do not represent the position of WeChat official account. If copyright issues are involved, please let us know and we will deal with them in time.

About the laundry list technology company

Laundry Technology Co., Ltd. is the world’s leading spatio-temporal intelligent big data service company and the leading location data and industry application solution provider in China. Relying on self-developed patented technology, based on high-precision maps and multi-source spatio-temporal intelligent big data, we will establish city-level and industry-level holographic spatio-temporal digital twin systems, and actively serve smart transportation (autonomous driving, smart highway, vehicle-road coordination), natural resource asset management (carbon neutral and environmental protection remote sensing data service), LBS smart industry applications (mobile Internet local business location service, smart travel, smart logistics, new infrastructure, smart city, emergency rescue) and other fields. For more information, please search for "laundry list technology" and visit the company website.

Is PS going to be laid off? The accuracy rate is 99%, supporting multiple faces to intelligently identify face-lifting and skin-grinding beauty …

This is a brand new AI intelligent portrait processing software.

One-button AI face-lifting

Simple and practical

The software analyzes each face through machine learning.

And add appropriate amount of decoration to skin, eyes and mouth.

You can easily get professional results.

For example:Smooth skin,Reduce luster,Remove defects,

Carve a faceandWhitening teethWait a minute.

The previous push was the 2022 version.

Yueyue brings the latest version of 2023 today.

ON1 Portrait AI 2023 (17.0)

(New interface)

Pay attention to and privately believe that the headline number of Yueyue replies "Want"

Follow the prompts to get it for free.

Better portrait editor

With ON1 Portrait AI, it can be perfectly decorated with just one click. It uses machine learning to find every face in a photo and automatically make them look great. It analyzes every face, and adds some modifications to the skin, eyes and mouth, providing you with professional effects immediately.

You can also manually adjust the facial details through the detailed parameter slider.

For example:Smooth skin, reduce luster, remove blemishes, carve face and whiten teeth, etc.

It can run independently as software and can also be used as PS filter.

supportPS2017-2023 latest edition Chinese sinicization

Support win and mac (win system version 17.0, mac system version 17.1)

(Compatible with win10 or above and MAC10.15 or above)

2023 new features

  • Mask artificial intelligence

Mask AI uses the most advanced machine learning to segment photos and identify objects and regions such as people and animals.

Say goodbye to the tedious brushing. Mask AI uses the most advanced machine learning to segment photos and identify objects such as people and animals, as well as areas such as sky, mountains, trees, water and ground. When masking layers, effects or local adjustments, you only need to select a theme or area from the list. Mask AI will immediately create beautiful masks. You can even select an area to which you want to apply a filter or adjustment when adding an area, so that you can easily get the required adjustment.

  • Content-aware clipping

Crop and flatten photos and expand the photo canvas and fill new edges with realistic details.

If you have ever had to crop or flatten a photo and lost important details near the edge, the new content-aware cropping will be a lifesaver. It can expand the photo canvas and fill new edges with realistic details.

  • Improved Content Perception Perfect Eraser

Perfect Eraser is a perfect tool to eliminate large interference, which has been improved by more accurate algorithm and runs faster on modern computers.

  • Full screen preset preview

If you are tired of viewing thumbnails to find the right preset, there is a new way to view them in full screen on your photos.

Get flawless, natural skin

In addition, this software is simple to operate and easy to use. It can be used alone or as a plug-in for Photoshop, Lightroom, Affinity Photo, Capture One and other tools. Moreover, you don’t need the user’s superb P-drawing skills, you just need to automatically find each face in the photo according to your preferences, analyze it, and add a proper amount of decoration, which is very suitable for proofing the photo before delivery.

Software introduction

(moving picture display)

(moving picture display)

Decorate tools and control what you need

The retouching options are simply amazing, including smoothing skin, reducing luster, removing blemishes, carving face and whitening teeth.

(moving picture display)

Let AI work hard for you

Automatically find each face in the photo according to your preference, analyze it, and add an appropriate number of embellishments.

Adjust everyone separately

Each face in the photo has its own controls and adjustments.

For example, you can use different settings for the bride and groom in wedding photos.

Your editing is nondestructive.

All adjustments and edits you make are non-destructive.

You can re-edit them later, and the original photos will not be changed.

You control how to edit.

Everything is automatic, but you also have complete manual control. You can manually adjust the position of eyes and mouth, paint to improve the skin mask and use a brush to remove stubborn spots.

Improve facial shape and lighting

Brighten or reshape the face by adding fill light to make the chin thinner or balance the eye size.

To correct common mistakes in lens selection and lighting.

(moving picture display)

Use the power of frequency division

Skin modification uses frequency separation to maintain natural skin texture,

At the same time, it reduces the color and tone change of the whole skin.

It produces flawless but natural-looking skin.

(moving picture display)

Easily remove flaws

Small defects can be automatically reduced,

Using the built-in content-aware eraser and clone stamp can remove big flaws.

Presets that suit your style

Easily create your own preset to define.

Your grooming style.

Whitening teeth

Teeth and lips will also be automatically detected. You can easily brighten your smile and adjust the color and saturation of your lips.

(moving picture display)

Enhance the eyes

The eyes will be automatically detected and enhanced. White can brighten and iris can brighten.

(moving picture display)

Batch work

Work, you can make AI work for you by batch processing the entire photo folder. For each photo, Portrait AI will find each face and automatically add the right amount of modification. Very suitable for proofing photos before delivery.

Compatible with a variety of software

Plug-ins into your workflow

The brand-new AI image processing software can be dragged at will, and the image is not damaged, which is convenient for users to process images. At the same time, it can automatically optimize the details of faces, add independent effect adjustment for each face, and then automatically process it, which is very intelligent.

It allows you to edit the image, add various special effects, support processing operations such as fill light, reduce light, monochrome, soften, blur, sharpen, increase noise and reduce noise, and has many functions such as black and white image coloring, lossless image amplification, sharpness enhancement, stretched image restoration, image defogging and so on.

It provides users with all kinds of processing tools to process images, and strives to meet all the needs of users, creating a first-class service experience for users, smooth operation and simplified workflow, making users more convenient and efficient to use.

Lip color dynamic

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C Ronaldo’s secret history conjecture: open partner! Ukrainian surrogacy! The mansion is booming!

Recently, foreign media disclosed matters related to the confidentiality agreement of C Ronaldo’s followers, and the private life of this well-known commercial superstar once again aroused fans’ curiosity.

C Ronaldo’s entourage is numerous, including family, friends and staff, including nutritionists, trainers, chefs, cleaners and personal security. Foreign media disclosed: "C Ronaldo’s private life shall not be revealed within 70 years after the death of the player or his last relative."

Considering that Cristiano Ronaldo’s children are less than 10 years old, it is estimated that fans will never have a chance to know about Cristiano Ronaldo’s private life without media coverage. Therefore, this paper boldly makes some guesses about what secrets must be brought to the grave by his followers.

Conjecture 1: open partner

"You can touch my eggs, but not my money." The wife of xiaosheng, a popular national football player, once said this sentence to xiaosan, which shocked the fans, and also unveiled the tip of the iceberg of "open partners" of the rich.

The so-called open partner is to allow your partner to have more partners besides yourself, and you don’t need to be loyal to each other. C Ronaldo and Georgina have been together for many years, and they also have children, but they are not married. Georgina’s external identity is "C Ronaldo’s girlfriend (one of them? ) ",the real identity at home may be the housekeeper (kindergarten director), and this relationship may be an agreement reached between them.

A single girl once told me that she didn’t want to get married because all men were not suitable: 1. If she was a good enough man, there must be other women outside, and few people could withstand the temptation, so it was hard to accept sharing a man with others; 2. If you are not a good man, you will feel frustrated when you look at it, and you don’t want to stay together for a minute.

Some fans have also left a message behind Tang Jiaqi’s article about C Ronaldo: If you have his money and status, you may spend more money than him. At present, the conjecture about Cristiano Ronaldo’s open-ended partner is not only a conjecture, but also some clues. For example, female online celebrity announced that Cristiano Ronaldo cheated during pregnancy.

Online celebrity, a Georgia-Maria, said that she and Cristiano Ronaldo had an intimate relationship in March last year, when Georgina’s twins were pregnant. This happened during the training of the Portuguese national team. For this matter, Cristiano Ronaldo did not deny it. Previously, there seemed to be something else about Cristiano Ronaldo’s affair with his girlfriend Georgina during pregnancy.

There are also fans who question how this female online celebrity’s face value is too low to be liked by the president. In fact, as the saying goes, "Women chase men, and they are separated from each other", the difficulty is actually not that great. As long as the female is active enough, if the fans are lucky enough to have seen all kinds of one-night stands of Cristiano Ronaldo in Manchester United, in fact, this female online celebrity is not the ugliest.

Conjecture 2: Surrogacy in Ukraine

Among C Ronaldo’s children, at least three were born by surrogacy, not including the eldest son, Mini Ronaldo, who is also a surrogate baby. Since many transactions have been made with surrogacy agencies, and C Ronaldo’s daughters (eyes) seem to see the shadow of Ukrainian beauty, C Ronaldo in Europe will make people associate with Ukraine, the "European uterus".

Ukrainian beauties with beautiful skin and long legs are a beautiful scenic line in the world. Because the country is poor, they become surrogate tools.

The price of a Ukrainian woman’s surrogacy is only $30,000, which is one-fifth of that of Europe and the United States. Ukraine ranks among the "European Uterus" with its surrogacy industry of hundreds of millions of dollars every year, which means that thousands of surrogate babies are produced every year. Do C Ronaldo’s surrogate children have Ukrainian babies?

In view of the current Russian-Ukrainian war, Cristiano Ronaldo is openly on Ukraine’s side, announcing that "the world is with you, and I am with you". Is it possible that Cristiano Ronaldo feels the same because he is the father of the Ukrainian baby?

Conjecture 3: Mansion bashing

It’s no secret that the rich in Europe and America are partying in luxury houses. Berlusconi of Italy once held a celestial feast in luxury houses, playing large-scale dramas such as "multi-person sports" and "minors", which is in contrast to the fact that the rich in China only held a "sea-sky feast" on yachts on the high seas.

While rich and prestigious stars have luxury houses all over the world, "using local materials" should not be news. Even if the world "flies", it is not surprising that Neymar has repeatedly staged the drama of "Wan Li calling the way" to invite women from Brazil to Paris, Europe.

There are also many things about the call to C Ronaldo’s mansion. The roles involved are female students, professional workers, online celebrity, nurses, white-collar workers, wives, singers, models, etc. Here, you can search by yourself. These things, I believe that his family’s staff are informed, so it is necessary to sign a confidentiality agreement.

What secrets do you think may be involved in the private life of C Ronaldo staff’s confidentiality agreement?

The Influence of Artificial Intelligence on Modern Society

Artificial Intelligence (AI for short) refers to a technology that computer system simulates human intelligent thinking and behavior through learning, reasoning, perception, understanding, judgment and decision-making. The core of AI technology is machine learning, that is, processing and analyzing a large number of data through training algorithms, and learning and extracting useful information and rules from them, so as to continuously optimize and improve their intelligence.

AI technology covers many different fields and applications, including natural language processing, image recognition, machine vision, speech recognition, robotics, intelligent recommendation, virtual reality and so on. These applications can play a role in many fields, such as health care, finance, energy, manufacturing, transportation, education, entertainment and so on.

In a word, artificial intelligence is a technology that can simulate human intelligent thinking and behavior. It enables computer systems to complete a series of complex tasks and decisions independently through machine learning and pattern recognition.

Artificial intelligence (AI) can bring us many benefits. The following are some of the main benefits:

  1. Automation: AI technology can automate many repetitive tasks, saving time and labor costs.

  2. Intelligent decision-making: AI system can provide more intelligent decision-making for human beings by analyzing a large amount of data and information.

  3. Customer service: AI can improve the quality and efficiency of customer service, such as providing instant service and support to customers through intelligent robots or chat bots.

  4. Health care: AI technology can help doctors and health care professionals make diagnosis and treatment decisions, while improving the efficiency and accuracy of health care services.

  5. Resource management: AI can help enterprises and government agencies to better manage resources, for example, by forecasting and planning energy demand and supply, and optimizing the supply chain.

  6. Education and training: AI can provide a better education and training experience, such as optimizing the learning process through personalized learning paths and real-time feedback.

  7. Safety and security: AI can help protect public safety and personal safety, for example, through automatic monitoring and detection systems to identify security threats and abnormal behaviors.

In a word, AI technology can improve efficiency, accuracy and intelligence, provide better service and support for human beings, and bring more commercial and social value.

Artificial intelligence (AI) has been widely used in various fields, including but not limited to the following aspects:

  1. Natural Language Processing (NLP): transforming human language into computer-readable forms, such as machine translation, speech recognition, text classification and sentiment analysis.

  2. Image recognition and Computer Vision (CV): Computer vision technology enables computer systems to recognize and understand images and videos, such as face recognition, object detection, automatic driving and security monitoring.

  3. Machine Learning (ML): By training algorithms, computer systems can automatically learn and adapt to new data, thus improving the accuracy of prediction and decision-making, such as recommendation system, credit evaluation, risk control and medical diagnosis.

  4. Robotics: Using artificial intelligence technology, robots can accomplish tasks that humans can’t, such as autonomous navigation, cooperative operation, intelligent control and service robots.

  5. Automation and intelligent manufacturing: using artificial intelligence technology to realize the automation and intelligence of production process and supply chain, such as intelligent logistics, intelligent warehousing, intelligent quality control and intelligent equipment.

  6. Virtual reality and augmented reality: through artificial intelligence technology, virtual reality and the real world are combined to realize a more immersive user experience, such as virtual training, virtual fitting, virtual tourism and augmented reality applications.

In short, artificial intelligence technology has been widely used in various fields and industries, which has changed our way of life and work, but also brought great opportunities and challenges for future technological development and innovation.

The impact of artificial intelligence (AI) on employment in modern society is twofold: on the one hand, AI technology can create new employment opportunities, on the other hand, it will also affect the employment of some traditional industries.

  1. New employment opportunities: With the development of AI technology, more and more companies and organizations need professional AI engineers, data scientists, machine learning experts and AI strategists. In addition, AI technology has also created some new professional fields, such as intelligent robot engineers, voice interaction designers and virtual reality developers.

  2. Impact of employment in traditional industries: AI technology will also have a certain impact on employment in traditional industries. For example, AI technology can automate many repetitive tasks and jobs, thus reducing the work that needs to be done by human beings. This may lead to the reduction of jobs in some traditional industries, such as manufacturing, administration and support services.

However, it should be pointed out that AI technology will not completely replace human work. On the contrary, it usually cooperates with human beings to improve efficiency and quality. Therefore, for the job market in modern society, it is important to improve skills and transformation ability to adapt to the rapidly changing technology and job market.

Aux’s New Year’s New Scenery: A New Spectrum of Improving Quality and Increasing Efficiency in Future Factories

A year’s plan lies in spring, and the spirit of the start is seen.

After the Spring Festival in the Year of the Rabbit, Oaks has made great efforts to innovate, improve quality and empower industries, strengthen market expansion, and greatly increase orders to achieve a good start. From the roar of machines, from the busy work of assembly lines, and from the enthusiasm of employees, Oaks has shown great vitality.

On the one hand, Oaks actively supplements talents in all aspects through spring recruitment activities; on the other hand, it injects new kinetic energy into the high-quality development of the whole year with the attitude of improving quality and increasing efficiency in future factories and waiting for no time.

As a leader in the manufacturing industry, the high efficiency, high standard and high precision of Oaks products have always been recognized by the industry. The digital, intelligent and standardized "future factory" is the mystery of Oaks to improve quality and efficiency. With the accelerated integration of the new round of scientific and technological revolution and industrial transformation, the new generation of information technologies such as 5G communication, big data, cloud computing, Internet of Things and artificial intelligence are constantly changing the production mode of Oaks and accelerating its high-quality development.

In the future factory of Oaks, from the core motor to sheet metal, assembly and logistics, Oaks Air Conditioning Factory adopts intelligent manufacturing almost all the way. It only takes 38 seconds to get from a plastic pellet to an air conditioning panel, and the production efficiency of the factory is improved by 30%, and the proportion of intelligent products is 80%. This set of data is enough to illustrate the hard core speed of Oaks’ "intelligent manufacturing".

The intelligent future factory can not only improve the production efficiency, but also make the production process more refined and reasonable. Through the intelligent management of production, the production process and equipment are fully interconnected to realize real-time monitoring of production process and equipment operation, and can be pushed in real time through mobile APP to realize mobile management and mobile office, which can greatly improve efficiency.

In addition to the intelligence of the production process, the future factory of Oaks has also realized the intelligence of planned production scheduling, rate monitoring and comprehensive efficiency of equipment, and through the collection and utilization of big data, the efficiency of quality inspection is also very obvious, for example, through 5G+AI vision technology, it has changed the dilemma of low efficiency and difficult traceability of surface quality detection by manual naked eyes. Once the product surface has scratches, differences in color brightness and other defects, even if it is thinner than hair, the camera will not let go. The detection system will digitally calculate the defective image, compare it with the standard, and feed back the defects at the first time with the help of 5G communication technology, so as to take immediate improvement measures. This is equivalent to installing intelligent quality inspection eyes in the production process, which is a great contributor to product quality improvement.

The improvement of efficiency also means the reduction of cost. Oaks relies on the intelligent production of future factories. Traditionally, the assembly line needs more than 100 people. Now it is all completed by machines and conveyor belts, and only three workers are needed, which undoubtedly saves the cost greatly.

On the whole, with the help of digitalization and intelligent empowerment, Oaks has achieved remarkable results in optimizing production efficiency, improving product quality and reducing production costs, so that it has enough strength to cope with a more complex competitive environment and write a new chapter in development.

Knowing that there is a long way to go for development, john young is just breaking the waves. Oaks keeps pace with the times, making a good start, laying a good foundation and opening a good game for the whole year with an efficient future factory. In the future, Oaks will further accelerate the pace of upgrading intelligent manufacturing, keep up with the development speed of the times, and strive to run out of acceleration on the intelligent track.

There are so many ai robot outbound calling systems, how to choose the one that suits you?

As the artificial intelligence industry becomes more and more mature, the times are developing and the industry is progressing, and more industries will embrace artificial intelligence; Ai robot outbound system can make enterprises create more profits with less cost and shorten the cycle of finding customers. So, there are so many ai robot outbound call systems, how to choose the one that suits you?


To judge whether an ai robot outbound system is suitable for you, we should first pay attention to several aspects: 1. Connection rate 2. Time required for dialing 3. Speech skills 4. Whether the line is high or not. 5. Where the number belongs …

Constantly compare the function of this robot outbound system with that of the robot outbound, and choose who can meet the actual needs of your company;

It’s just that this choice takes a long time and costs a lot of time, so is there a simpler method?

1. It can be applied to mainstream industries and application scenarios.

Jiadan Technology Intelligent Sales Robot is suitable for covering mainstream industries and application scenarios.

Jiadan Technology intelligent telemarketing robot is equipped with a good platform, and uploads the exclusive speech recorded by a professional sound recorder. Technicians upload it to the system platform, and then they can make their own calls by importing the phone, so as to quickly and effectively screen customers who are interested in the products and push them to WeChat bound to the system platform to arrange professional contact and communication.

Faster and more effective, support interruption, support manual intervention, and improve work efficiency.

2. Automatically determine the intended customers. According to the intended customer label set by the system platform, what kind of customers are divided into: Class A, Class B, Class C and Class D all have clear standards; For example, how much money the customer asks, where the company is, and other keywords, the system will automatically judge it as a class A customer, and the call records can be viewed in real time without missing any intended customers.

3. After professional and intimate after-sales service cooperation, many-to-one guidance will be given to the docking group, and many customer service technicians will solve all kinds of problems encountered in the use process in real time.

If you are interested, please contact the above phone and WeChat to provide you with professional advice.

Haitong Securities: Private cloud will become the mainstream layout of AI big model computing power. It is recommended to pay attention to Pingao shares (688227.SH) and so on.

Zhitong Finance APP was informed that Haitong Securities released a research report saying that AI big model training has less demand for temporary rapid expansion of computing power, and private clouds can also shoulder computing power requirements. At the same time, for continuous and large-scale AI training, private cloud has higher efficiency and lower cost. From a completely visible point of view, with the help of private cloud, enterprises can completely control and visualize their network security status, and can customize it to meet their specific needs. The bank believes that the high security of private cloud makes it a more suitable solution. Suggested attention: Pingao (688227.SH) and Qingyun Technology (688316.SH).

The main points of Haitong Securities are as follows:

AI big model training has less demand for temporary rapid expansion of computing power, and private cloud can also shoulder the computing power requirements.

In the past, China’s public cloud market has always occupied the mainstream position of cloud computing. According to China ICT Institute, in 2021, the scale of China’s public cloud market reached 218.1 billion yuan, while the private cloud market was only 104.8 billion yuan in the same period. In the past, the development of the public cloud market was mainly due to the rapid growth of the demand of Internet enterprises in China in recent years, and the process of traditional enterprises going to the cloud was accelerated, while the public cloud had the advantage of flexibility and easy expansion. The bank believes that in this context, enterprises’ demand for cloud is increasing, while public cloud is easier to expand and more suitable for high-speed growth enterprises. The bank believes that in the context of the current rapid development of AI, the demand for rapid expansion of cloud servers is not so strong; Moreover, from another point of view, before the large-scale model training, there is often a preliminary understanding of the training computing power required by the model, and the required computing power will be prepared and laid out in advance, so it is unlikely that a large amount of computing power will be temporarily expanded during the model training, which makes the advantage that there is a cloud that can rapidly expand no longer exist in the field of AI large models, and the private cloud can also support the computing power demand of model training.

For continuous and large-scale AI training, private cloud has higher efficiency and lower cost.

When building a private cloud, the limited budget can be used efficiently by carefully planning hardware, capacity, storage and network configuration. On the other hand, although the public cloud has some advantages in ease of use, these services have great "binding" characteristics. For example, if users use Microsoft’s pre-trained DNN for image processing, they can’t easily run the generated applications on their own servers, and users can’t use Google’s TPU and AuoML tools in non-Google public clouds. However, in the current training of large models, it is necessary to constantly use new data and functions to keep its "freshness". Because the private cloud is only used by a single organization, the enterprise can completely control its software and hardware selection. This high degree of control means that the owner of the private cloud can reconfigure or customize the cloud resources for the task, further improving efficiency. As the big model becomes more and more complex, private clouds can provide greater generality and finer specifications (such as plugging in specific applications and ensuring continuous availability and data speed independence). The bank believes that on the one hand, the cost of public cloud layout and private cloud layout is basically the same for the demand of fixed pre-trained AI big model. Because there is no demand for rapid expansion, the scale cost advantage of public cloud will be weakened; On the other hand, the training efficiency of public cloud will be lower than that of private cloud specially built for its own AI training. For continuous and large-scale deep learning, using local private cloud can save a lot of costs and improve training efficiency.

Al training needs massive and highly sensitive data, and the high security of private cloud makes it a more suitable solution.

For the public cloud, when companies store their data and information in the cloud, it is difficult to ensure that these data and information will be adequately protected. The huge scale of the public cloud and the diversity of companies covering users also make it a favorite target for hackers to attack. In addition, there is the problem of hardware sharing in public cloud. Through public cloud, the work between different companies will be carried out on the same server, and this sharing mode is likely to lead to the disclosure of confidential data and information. Unlike public cloud, private cloud is a cloud infrastructure specially built to provide "isolated access" in a "single tenant environment", that is, it can only be accessed by a single entity, which is usually an enterprise that uses and maintains the cloud. The only purpose of establishing a private cloud is to provide services for enterprises that own the cloud. From the control point of view, because the owner completely controls the physical computing, storage and network equipment, the data security is promoted to the highest level, and the internal administrator has greater flexibility in implementing and accessing security tools; From a completely visible point of view, with the help of private cloud, enterprises can completely control and visualize their network security status, and can customize it to meet their specific needs. Because AI training needs a lot of data, for example, the data volume of GPT-3 pre-training reaches 45TB; Moreover, the application of artificial intelligence faces great security risks. On the one hand, data is associated with user privacy information, on the other hand, the destruction of the model will lead to decision-making errors, data poisoning will affect the effectiveness of intelligent services, deep forgery will be used for extortion, and data leakage will lead to user privacy exposure. Events occur frequently.Therefore, there will be higher requirements for security. Therefore, the bank believes that a private cloud with high security features is a more suitable solution.