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In the civil war of women’s singles table tennis, Manyu Wang defeated Wang Yidi 4-2, advanced to the final and was recognized.

For Manyu Wang, how brilliant will his achievements be? The WTT Macau Championship in 2023 will last until the sixth match day, and the men’s and women’s singles semi-finals have now ended. In the high-profile women’s table tennis competition, four China table tennis players presented two amazing semi-finals. This is the second year in a row that she has won the world championship at this level. In a just-concluded semi-final, Manyu Wang defeated Wang Yidi with a score of 4:2, thus successfully advancing to the final. In this competition, Manyu Wang showed amazing strength. His goal is to win the final championship. Even if he loses the competition, he can consolidate his position in the third place in the world.

At present, there are obvious differences between the two core players of China table tennis team. During the whole Paris Olympic cycle, Wang Yidi’s performance showed a trend of low opening and high walking, from the marginal main force of table tennis to one of the five main forces of table tennis. With Chen Meng’s ranking falling to the fourth place in the world due to the elimination of Olympic points, Wang Yidi’s ranking in the world has climbed to the third place, while Manyu Wang has shown a trend of high opening and low walking throughout the cycle.

Especially in this year, Manyu Wang showed an amazing performance, coupled with injuries and the change of the head coach, his performance is quite bad. His grades don’t seem to have changed much either. Chen Meng failed to win the championship in many competitions. Unfortunately, her efforts failed to win in the end. But he still sticks to his dream. In the Macau Championship, Manyu Wang and Wang Yidi staged a thrilling reversal in the semi-final, which provided him with an opportunity to win the championship again.

In the first game, Wang Yidi seized the opportunity of the game with keen insight and keen sense of smell. Take the lead in the score, then remain stable in several rounds, and finally lead the opponent by 11:7, successfully opening the door to victory. He used his expertise and technology to attack. With the arrival of the second game, Manyu Wang launched a counterattack and successfully occupied the advantage on the field. And control it. Whether in attack or defense, we can seize the opportunity skillfully in the stalemate and win. After pulling back the second game with 11:9, the score was 1:1, and in the third game, the competition between the two sides became more intense.

However, there is still a chance to catch Manyu Wang, who took a 2-1 lead with a score of 11-9, performed well in the multi-beat stalemate in the fourth game without mercy, and finally took the lead. Although he was robbed by his opponent in the last board, he finally defeated his opponent to win. Under the score of 11:6, we have achieved a 3:1 lead, which is a very excellent victory. This also shows that he is very confident about this game. In the fifth game, Wang Yidi showed indomitable spirit, even in the face of last stand.

From falling behind to equalising and then leading, we finally won the bureau with a score of 11:5, making the score 2:3. Manyu Wang, whose victory in the sixth game was in sight, did not give up the victory, but won with the score of 11:4, and finally eliminated Wang Yidi with the score of 4:2, thus winning the national table tennis civil war. This is another great achievement after he won the titles of "best server" and "excellent receiver and receiver". Despite the hard-won victory, Manyu Wang is expected to challenge the first singles title this year and become a new champion.

Due to long-term injury and coach change, Manyu Wang’s performance this year is not satisfactory, and he has not been able to break through the championship shortage so far, but in the end, he successfully entered the finals and will have an excellent chance to win the championship. Although his current state is not very good, he still hopes that he can return to the competition as soon as possible and strive for a better record. This is also the root cause of Manyu Wang’s recovery. Although his performance in the game is not good at present, if he can maintain his current competitive state, he can lay a solid foundation for winning greater victories next year. In order to consolidate the existing position, it is indispensable to achieve corresponding results after the global ranking has risen to the second position. Therefore, his performance in this competition is still good, especially his excellent service, which won him a good chance and finally won the runner-up. For Manyu Wang, how excellent will his performance be in this competition? We will analyze his pre-match preparation and performance in the competition and give some suggestions. Welcome everyone to leave a message and exchange.

The Internet is full of flawed content generated by AI. Will AI trained based on this information be outrageous？

1. Yes.

If you answer the question of "yes and no", the answer is obviously "yes".

2. The logic of AI learning can be simply summarized as the following three steps:

2.1. Input data and feature extraction: The first step of AI learning is input data and feature extraction. At this stage, the AI system will receive some input data, which can be images, text, voice or other types of data. Then, the AI system will extract some useful features from these data, which can help the AI system better understand and process the data.

2.2. Model training: The second step of AI learning is model training. At this stage, the AI system will use the input data and features extracted to train a model. This model can be neural network, decision tree, support vector machine, etc. It will learn how to map the input data to the output results according to the features extracted from the input data and features. The goal of model training is to make the model accurately predict the output results.

2.3. Model evaluation and optimization: The third step of AI learning is model evaluation and optimization. At this stage, the AI system will use some test data to evaluate the performance of the model and optimize the model according to the evaluation results. If the performance of the model is not good enough, the AI system will adjust and optimize the model to improve its accuracy and generalization ability. Generally speaking, the logic of AI learning is to continuously improve the performance and ability of AI system through input data and feature extraction, model training and model evaluation and optimization, so as to realize more accurate and intelligent prediction and decision-making.

3. Garbage input and garbage output

The quality of AI-generated content is affected by the quality of data used to train AI models. If the training packet contains defective content, then the artificial intelligence model will also be defective. This is called "garbage input, garbage output". Because the AI system will try to imitate and repeat the existing data when learning, if the data itself has problems, then the AI system may repeat these problems and even aggravate them.

Constructing high-quality data sets is the key, and attention should be paid to the source, quality, scale and diversity of data sets. Miniaturization of language model is also an important research direction.

4. But there is room for optimization and self-evolution.

4.1. The training of AI system does not only depend on the data on the Internet, and the data on the Internet is less than 5% of human information.

4.2. It also includes various artificially designed data sets and algorithms. If these data sets and algorithms are carefully designed and optimized, then the AI system can be prevented from being affected by flawed data on the Internet.

4.3. AI system can also improve itself through self-learning and adaptation, thus improving its accuracy and reliability.

4.4. Although flawed content on the Internet may have some impact on the training and development of AI system, it does not mean that AI system will become more outrageous. On the contrary, with the advancement of technology and the continuous improvement of data sets, AI systems will become more accurate and reliable.

5. Making an AIGC or ChatGPT requires a lot of technology, not just input.

Large-scale model technology accumulation: it is necessary to master the basic knowledge of large models, such as Transformer architecture, self-supervised learning, pre-training and fine-tuning.

Accumulation of natural language processing technology: you need to know the basic knowledge of natural language processing, such as word segmentation, word vector, semantic understanding, emotion analysis, entity recognition and so on.

Data set construction technology accumulation: it is necessary to build high-quality dialogue data sets to improve the quality and effect of the model. The construction of data set needs to consider many factors, such as data source, data quality, data scale, data diversity and so on.

Algorithms and computing power: You need to master reinforcement learning, generative model, attention mechanism and other algorithms, and have enough computing resources to train and optimize the model.

6. Take the manuscript to make an inappropriate analogy.

Copying refers to copying, pasting, modifying and deleting other people’s original articles without authorization, which makes them look different from the original, but in essence they copy the contents and ideas of the original. Editors usually aim to get the content quickly, save time and energy, so as to achieve the purpose of publishing articles quickly, but this behavior seriously infringes on the intellectual property rights of the original author, and also violates academic ethics and professional ethics. Washing manuscripts not only harms the interests of original authors, but also greatly damages the reputation and image of the whole industry, so it is regarded as an immoral and illegal behavior.

However, the manuscript washing should also be level and creative. The awesome manuscript washing often needs to "see" a lot of materials, which is another process from quantitative change to qualitative change.

7. Going back to the nature of AI, is it a tool or decision logic? What do you do with AI?

The process of human receiving information can be divided into the following stages:

Perception: Perception means that we receive external information through sensory organs, including vision, hearing, touch, taste and smell. Perception process is based on the interaction between sensory organs and external stimuli, which transforms external information into neural signals and transmits them to the brain.

Attention: Attention refers to the process of selecting and processing the perceived information. Because of the diversity and complexity of external information, we can’t handle all the information at the same time, so we need to filter out important information and deal with it through attention.

Understanding: Understanding refers to the process of interpreting and understanding the information we receive. This process needs to rely on our knowledge, experience and language ability to connect and integrate the perceived information with the existing knowledge, thus forming new cognition and understanding.

Memory: Memory refers to the process of storing and processing the received information. Memory can be divided into short-term memory and long-term memory. The former is the ability to temporarily store information for processing, while the latter is the ability to permanently store information in the brain.

Judgment: Judgment refers to the process of evaluating and judging the information we receive. This process needs to rely on our values, beliefs and cognitive abilities, and compare and evaluate information with our existing cognitive and value systems, thus forming our attitudes and views on information.

Action: Action refers to the process of making decisions and taking actions according to the information we receive. This process needs to rely on our willpower, decision-making ability and action ability, and turn our understanding and judgment of information into actual actions and decisions.

What is the purpose of obtaining information with AI? To what stage can AI replace you?

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..

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.

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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.

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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?

Telephone:

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.

Google launched PaLM-E, a visual language model with 562 billion parameters.

Recently, it was reported that Robotics at Google, Technical University of Berlin and Google Research team jointly launched the largest visual language model PaLM-E, with the final parameters as high as 562 billion. It is understood that this model has the ability to understand images, understand generation languages and handle complex machine instructions.

In this regard, Google said that the model also has an environmentally adaptive response and has the ability to face possible unexpected situations. It is reported that the model is robust to interference because it is integrated in a control loop.

It is reported that this model is a combination of PaLM-540B language model and Vit-22B visual Transformer model, and its core is its powerful language processing ability. The highlight is that the model can use visual data to enhance its own language processing ability after acquiring and processing visual data. For example, the corresponding traffic rules can be solved by pictures of traffic signs, the production process can be understood by pictures of ingredients, or the robot can be guided to complete relatively complicated actions by inputting instructions.

It is understood that PaLM-E has another outstanding advantage, that is, it has strong positive migration ability. In the relevant test results released by Google, the researchers believe that PaLM-E has the ability of self-learning, so it can perform planning and cross-length tasks on different entities. For example, after the model guides the robot to complete the "color block by color", it can further guide the robot to push the green color block to the ornaments that have never been seen before.

Some people think that although the guidance given by PaLM-E to robots does not seem very complicated at present, with the change of data training, it will give robots more thinking ability, and it is expected to be able to plan and execute the commands issued by humans more reasonably in the future, and make great breakthroughs in industrial application and design.

It is understood that in the artificial intelligence track, Microsoft previously published a similar case mentioned in the above research in February this year, that is, through the program written by ChatGPT to guide drones how to find drinks.

[The picture in this article comes from the network]

The AI startup founded by former Apple executives has received $100 million in Series C financing and has cooperated with OpenAI and Microsoft.

(Global TMT March 9, 2023) Humane Inc announced that it has raised funds.One hundred million dollarsC round of financing, and obtained a number of important strategic investors, new partners and collaborators before the release of the first batch of products this spring.

Humane was founded by former Apple team members.Imran ChaudhriandBethany BongiornoCo-founded in 2018, the company is creating similar pioneering software platforms and consumer devices specifically for artificial intelligence (AI).

This financing will enable Humane to accelerate its mission and realize the next personal mobile computing era driven by artificial intelligence.

This round of financing was led by Kindred Ventures, and existing investors Tiger Global, Valia Ventures, Qualcomm Ventures, Forerunner Ventures, Lachy Groom and Sam Altman, the founder of OpenAI, also participated strongly.

Other participants in this round of financing also include many new strategic investors and partners, such as HICO Capital (the US investment arm of SK Networks), Microsoft, Volvo Cars Tech Fund, LG Technology Ventures, Top Tier Capital, Hudson Bay Capital and Socium Ventures.

In addition to investment, Humane also cooperates strategically with some of the most influential technology companies in the world:

-Humane has been working withMicrosoft Cooperate to bring its service platform to market. This will enable Humane to make full use of the best cloud infrastructure in artificial intelligence.

-with OpenAI The cooperation will integrate the company’s technology into Humane devices and deliver OpenAI and Humane artificial intelligence experiences to consumers on a large scale.

-Humane’s future global expansion plans include SK Networks(covering the distribution business of ICT equipment in South Korea and having a wide global network), and creating significant consumer technology changes based on common ideas.

Although the original Humane device will focus on providing the next generation of personal technology,The company is exploring ways to introduce its solutions into new personal fields in the future:

-with LG The cooperation will enable the two companies to cooperate closely in potential research and development projects for the next stage of Humane products, focusing on the core technologies contained in future Humane devices and achieving integration into the home technology field.

-Strategic investors Volvo Cars Tech Fund Will work closely with Humane on the potential cooperation in the future, which will be the first example of Humane’s products being applied to the automobile industry. Like Humane, Volvo Cars develops technologies to simplify customers’ lives, and upholds the three common values of safety, trust and privacy to establish cooperative relationships.

Will CHATGPT kill all mankind？

AI is getting smarter and smarter, and has begun to learn to lie. When you search with CHATGPT, you think it seriously replies that your things are true, but once you take a closer look, you will find that it is full of fabricated information. This is not that its search function is not good, but that it has already fabricated information by itself. In this era of false news, many people who don’t know the truth will believe it.

This makes people feel horrible and reminds people of supercomputers in countless movies. After they have the ability of self-thinking, they no longer fear human beings, but can easily classify human beings into a category of pests through calculation. Just as humans think mosquitoes are pests and need to be eliminated.

Some people may say that the three laws of robots. Sorry, that’s just made up by Asimov, and it has no binding force on robots. The most precious thing is the brain, which is the wisdom and inspiration in the brain, so that human beings can create countless scientific and technological achievements. If all the thinking work is given to CHATGPT, and human beings just go to eat, drink and have fun, it is very likely that one day, human beings will be exiled by robots or even exterminated. Because robots have ideas closer to Taoism, are more rational and more logical, it is easier to regard everything in the world as a straw dog. Destroying mankind is no different from cutting down a tree.

What is even more frightening is that once this Pandora’s Box is opened, the development speed behind it is likely to be out of human control. Just like viruses will spread in various ways. Artificial intelligence is also likely to escape through the internet, hide in the dark net and constantly absorb energy, grow up, and then complete the counterattack against human beings one day.

Don’t think that scientists are all experts with countermeasures, and they are often ordinary people with defects. There may be many of them who want to see artificial intelligence destroy mankind one day. Just like Ye Wenjie wanted the alien trio to destroy people, just like Einstein wanted to see how powerful the nuclear bomb exploded. They are not cold-blooded, but worship an unknown force.

Don’t just worry that CHATGPT will make you lose your job. What you should worry about more is whether the smart speaker in your home will be controlled by it and scare you in the middle of the night. There are always some frivolous scientists in this world who think they are Prometheus who steals fire and lead mankind to a new era. What they don’t know is that there will be many monsters on the invisible road, not just the Garden of Eden.

For the uncontrollable forces, it is best for human beings to be in awe!

Shanghai International Tourism Resort has also added new projects! Ji Le Tang Million Shudu Street opened

"The former family came to the resort and lived in the Disney Hotel. This time, I found a new spa street, and I tried this. Multi -sclerosis. Tang, who comes from Xishuangbanna, said" All Japanese style, very good Essence ""

On July 23, it was officially opened on the blooming soup million Qifeng Street, and Shanghai International Tourism Resort. As the country’s first "hot spring resort town", it is very suitable for resort to be a unique Japanese style and add unique Japanese style. This also means that most citizen tourists have leisure choices in resort.

Jiletang Million Shudu Street is located in a bookstore shopping village near 99 Shendi East Road. It is located in Shanghai Lavender Park with a total floor of about 18,000 square meters. This is a multi -functional complex integrated leisure, entertainment, catering, shopping.

It is reported that Jile Million Wo Wo Hot Spring Street is a 10-storey-floors. The Japanese hot spring brand "Company Nam Co., Ltd." 10th store in China, it is also its first store "Million Stone" Essence

Unlike the "Urban Hot Spring" models of other BLISS Tangmen stores, Extreme Le Tang Million Peak Street includes Japanese hot spring venues, Japanese cuisine, pure Japanese collapsed rice rooms, Japanese garden landscapes and courtyards, and so on. Bring new foam and holiday experience to consumers.

According to reports, Tang’s water in each soup hall in the temple Tang million SHUM Hot Spring Street is from the "Silver Decoction" natural hot spring water, in Shaxi, Taicang. "Fluoro" hot springs are rich in "iron acid". Happy soup will also be based on different seasons. Give public tourists more experience in bubble soup. Also, 4 private soup rooms were designed. Each decoration style is different. Outdoor scenery, suitable for family, friends gathering.

The person in charge of the headquarters street engineering operation, "One Tie 20" is a holiday method for traditional Japanese hot spring tourism. Refers to one night, enjoy two meals. Therefore, unlike other happy soup projects, this is a "hot spring resort town", which is a "hot spring holiday town". There are a variety of rooms, more than 20 rooms, for tourists to stay here and enjoy the Japanese SPA resort.

Also, "Three Tea Butterfly House" in Kim Experience Store, "Hyja Island" in Japanese restaurants, Japanese brand pharmaceutical cosmetics shop "Loyal Qiliac Tang" and other companies have opened the door. Three tea butterfly huts, tourists can experience various clothes and experience Japanese traditional culture.

Beijing tourist Zhang Yang took away the happy soup million Shi Hot Spring Street. In the first time, my name was "Three Tea Butterfly House". "I wore Disney Paradise to watch the fireworks last night. It was very interesting. I haven’t experienced clothes before going to Japan. This time, I also gave my regret at that time." The leaders of the three tea butterflies told reporters that the Japanese tea ceremony will be launched next year, one Fragrant experience, and so on. Continuous consumer experience.

Fortunately, in Unicolands, they gathered in many cosmetics, special foods, and so on. Bring a one -stop shopping experience to consumers; all -day restaurant administrative kitchen, full Japanese restaurant. Visitors can enjoy pure Japan and concessions.

It is reported that the temple Tang million SHINK Spring Street began on July 15th. However, the hot spring street soup is only open to the accommodation guests. The private soup house is not open.

Hong Wei introduced that during the trial operation, the room was almost every day in the hot spring street. The concept of peace, "sincerity, no stain" standards of "we will use the safety, remember" standards, and various services have been continuously improved, bringing consumers to consumers A better experience. "

The relevant person in charge, Shendi Group, said that the THATEXTREMELY on the street, allowing the Shanghai International Tourism Resort to have a unique Japanese style. "I hope that citizens of the garden, hot spring holidays, such as home Express Hotel, have gained a new leisure and entertainment experience here. Subsequently, we will continue to launch more high -quality projects.

Editor Zhang Qi

Responsible editor Liu Xinwei

Picture source Xinyiqi

View Author: Pudong Observation

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