With the coming of summer, more and more people choose swimming as a way of fitness exercise. However, swimming venues are public places, and there are many complex health influencing factors. If you don’t pay attention to hygiene, you are likely to get sick during swimming. Keep this swimming tips in the pool, and spend a healthy and happy summer via China’s disease control trends.
Source: Zhejiang Publishing
Many people in China learned about baseball to a great extent through a Japanese cartoon. With the popularity of the cartoon in China, people are more and more happy about baseball. Especially with the entry of baseball into the Olympic Games, China team has achieved good results, and baseball has gained more and more recognition in China. However, we can easily find that there are still many people who don’t understand baseball, and the performance is that baseball and softball can’t be distinguished. Do you know the differences between baseball and softball?
1. Softball uses a bigger ball than baseball.
2. Different bases spacing: softball bases are 18.3 meters (60 feet) apart, while baseball bases are 27.45 meters (90 feet) apart.
3. Different pitching distances: In softball, the pitching distance is 12.2 meters (40 feet), while in baseball, the pitching distance is 18.4 meters (60 feet, 6 inches).
4. The way of pitching is different: the pitcher of softball uses the lower arm movement to pitch, while the pitcher of baseball uses the method of raising his hand over his shoulder to pitch.
There are seven innings in softball and nine innings in baseball.
6. Baseball field is bigger than softball field, and girls are naturally restricted, so almost all play softball.
7. Baseball bats are generally conical in the middle and front, while softball bats are generally cylindrical and thinner.
8. The rules of baseball and softball are similar, but baseball can steal bases, but softball can’t.
What are the differences between baseball and softball? Looking at the differences listed above, I believe everyone has a better understanding of how to distinguish baseball from softball. Although softball and baseball are both round and similar in style, softball is bigger than baseball, and there are also great differences in their rules, so you can better distinguish them through these.
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The future game lineup of each family has gradually stabilized this year, and many masterpieces will be launched one after another in 2023. All three host manufacturers are planning their own blockbuster works in 2023. At present, the first quarter has passed, and IGN has published a summary of 20 high-scoring games so far this year, two of which are full marks. Let’s take a look.
Full list:
8 step:
Heart of the atom
Multi-player part of company of heroes 3
I wish you a good death
Meet the Creator
Resident Evil: Village VR
Son of the forest
Wild heart
Wolong: The Fall of Heaven
《WWE 2K23》
9 step:
Bayonetta: Origin
Dead Space: Remastered Edition
Flame coat of arms Engage
《GT7 VR》
《Hi-Fi Rush》
The legacy of Hogwarts
Major League Baseball 23
Pizza tower
Final fantasy rhythm theater
10 step:
Galactic warrior Prime replica edition
Resident Evil 4: Remastered Edition
Tonight, the first in the Premier LeaguethreesevenTwo major events were staged at the same time, and the fate of the two competing for the four giants was ice and fire, and Manchester United was away.one-0Beat bournemouth,Expand the leading edge,Liverpool home1-1TiedAston villa,Fall behind Manchester UnitedthreeDivide!As a result, the Premier League is in suspense for four.Keep it still, Newcastle and Manchester UnitedJust take it againonePoints can ensure that beforefour,butLiverpoolNeed to wait for a miracle to happen..
Manchester United led Liverpool before the game.1 point, and one less game, firmly grasp the initiative to fight for four. With two rounds left in the league, Liverpool must guarantee a total victory and expect Manchester United to lose points before they can have a chance to come from behind. This round of Liverpool ushered in Aston Villa, which played well in the second half. Coach klopp was suspended and could only watch the game in the stands, while Manchester United’s opponent was Bournemouth, who had already relegated in advance.
This round of Manchester United and Liverpool started at the same time, and the fate of the two teams appeared in the first half. With casemiro’s goal, Manchester United took the lead early and played the following games with ease. Liverpool, on the other hand, was in a bad state. After dodging the penalty, Ramsey scored the goal for the visiting team, klopp was in a hurry in the stands, and the performance of the Red Army did not improve.
In the second half, there was no change in the scores of the two games.,Manchester United’s game is over first, they are away.1-0Win.Subsequently, firmino, who came off the bench, equalized the score and finally played at home.1-1Draw with Aston Villa. In this way, Newcastle and Manchester United are leftTwoField situation, ahead of Liverpool.onePoints (onlyoneField), just take it again.onePoints can ensure that beforefour.Liverpool must win in the last round and then expect Newcastle or Manchester United to suffer.TwoLosing in a row, with the advantage of goal difference, it is quite difficult.For the management of klopp and Liverpool, this season’s performance is a disaster, and the lineup must be changed this summer!
On April 22nd, Haier 2023 Qingdao Marathon officially started. As the official designated care brand of Haier 2023 Qingdao Marathon, Mr. Laundry is committed to providing runners with a more comfortable and secure care experience, being a clothing care housekeeper around you, and helping every runner to go to the mountains and seas.
The new model meets old friends, and Mr. Laundry is praised by users.
Focusing on the needs of users, the care services provided by Mr. Laundry are not limited to sweatshirts and sports shoes on runners, but also include daily clothes, special fabrics such as silk and cashmere. Mr. Laundry can solve the cleaning, nursing and treatment of various fabrics in life. Mr. Laundry’s innovative business model of "1+N+ Ecology" changes the single service of traditional laundries, and provides users with clothes life cycle solutions for washing, protecting, storing, riding, purchasing and collecting clothes.
Mr. Laundry also met many old friends at this Qingma scene. "It’s the first time to run a green horse, but I’ve been an old user for more than ten years at the laundry man & Jieshen Store at the entrance of my community!" The marathon runner, Ms. Song, who lives in Taizhou Road, said. Since 2021, Mr. Laundry set up a joint venture with Qingdao local brand Jieshen for 30 years, the upgrade speed and achievements of the new-type eco-care store have been well received by users in the island city: "At first, it was washing clothes, and then the store had eco-products, as well as home cleaning and home appliance cleaning services. Now the store can even buy Haier household appliances directly, which really provided us with great convenience. I ran into the new track with Mr. Laundry & Jieshen."
Professional runners prefer professional care, and Mr. Laundry is reliable.
In 2023, it was the fifth year that Haier and Tsing Ma walked hand in hand, and it was also the second time that Mr. Laundry made his debut at Tsing Ma Circuit. As a great achievement of Haier’s transformation on the eco-brand track, Mr. Laundry, under the guidance of eco-brand strategy, relies on the platform-leading IOT technology and ecological resources, and establishes a caring ecology trusted and recognized by consumers with a full-link caring solution, which helps the caring industry to develop towards the goal of being more standardized, orderly, green and environmentally friendly, and upgrading services. As of March this year, Mr. Laundry has covered 1,528 network contacts in 30 provinces across the country, built 12 operation centers, 3 self-owned 6S standard central laundry factories and 37 cooperative factories, and the rapid development is backed by the recognition of national users and the guarantee of professional care ability.
"I usually run a lot, and my shoes are dirty and worn quickly. Many of our runners have the need for professional care of running shoes. They should be clean, but don’t brush them too violently." Mr. Li, who specially came to Qingdao from other places to participate in the marathon, said that he was very interested in Mr. Laundry’s treatment mode of "washing, drying, ironing, sterilization and disinfection" and the exclusive care service mode of "one customer, one cylinder and one disinfection".
The innovative care mode and sincere caring service also give Mr. Laundry enough confidence to be qualified as the official designated care brand of Haier 2023 Qingdao Marathon. It is with this confidence and sense of responsibility that Mr. Laundry will base himself on the care needs of runners, bring high-quality and professional care services and bring more surprises to runners!
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?
[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.
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:
Automation: AI technology can automate many repetitive tasks, saving time and labor costs.
Intelligent decision-making: AI system can provide more intelligent decision-making for human beings by analyzing a large amount of data and information.
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.
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.
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.
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.
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:
Natural Language Processing (NLP): transforming human language into computer-readable forms, such as machine translation, speech recognition, text classification and sentiment analysis.
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.
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.
Robotics: Using artificial intelligence technology, robots can accomplish tasks that humans can’t, such as autonomous navigation, cooperative operation, intelligent control and service robots.
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.
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.
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.
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.
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.
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]