Founder of Immortal Artificial Intelligence
The founder of the artificial intelligence was Li Qunfeng. Li Qunfeng, the current CEO of Xian Gong AI. In 2015, Li Qunfeng founded Xiangong Intelligent in Shanghai. Xiangong Intelligent was a developer of intelligent controller products. Based on AMR mobile robot technology, it provided customers with intelligent controllers, machine vision, dispatching systems, and other products. They were widely used in the auto parts, 3C electronics, semiconductor, food and beverage industries. If you want to know more about the follow-up, click on the link and read it!
Immortal artificial intelligence
Xiangong Intelligent was a supplier of industrial logistics solutions with intelligent control and digitizing as its core. The company was founded by the RoboCup world champion team. Headquarter is located in Shanghai, with 7 offices and 3 production bases across the country. Its business covers more than 20 countries and regions around the world. Xiangong Intelligent has the world's leading Slam technology and self-developed core technology. It provides product combinations such as controllers, mobile robots, and digital software to serve the semiconductor, 3C, potash, photoelectricity, auto parts, printed circuit boards, textile, medical, and other industries. The controller product line of Xiangong AI included entry-level, universal, and safety types, which could meet the needs of more than 99% of customers. The company made technological breakthroughs in the field of mobile robots, launched the world's first functional safety certification controller, and continued to upgrade its products. In 2021, Xiangong Intelligent Technology carried out a B round of financing to accelerate the construction of non-standard solutions with standardized products.
How about immortal artificial intelligence?
Xiangong Intelligent was a mobile robot solution supplier with intelligent controllers and digital software as its core. The company was founded by the three-time RoboCup world champion team and focused on independent research and development of core technologies. Their Slam technology was the world's leading, with a positioning accuracy of +/-2mm and more than 400 intellectual property rights and product certification. Xian Gong Intelligent's product mix included controllers, mobile robots, and digital software, providing new value to intelligent manufacturing and integration companies. They had reached strategic relationships with more than 1200 suppliers and car manufacturers, and gathered more than 2000 upstream and downstream industry chain partners to build a prosperous mobile robot ecosystem. Their services cover more than 50 countries and regions around the world, providing replicating intelligent logistics solutions for many industries. The company had also received investments from a number of well-known institutions and continued to consolidate its leading position in the industry. According to the information provided, the immortal artificial intelligence had a certain influence and market position in the field of mobile robots.
Immortal artificial intelligence Zhao Yue
Zhao Yue, the CEO and founder of Immortal Artificial Intelligence, had a unique business philosophy and a wonderful resume. In terms of business philosophy, he focused on robot controllers and supported non-standard applications with standardized products. He adhered to the concept of "making intelligent robots have no threshold." Due to the large differences in the needs of each factory, it was difficult for standardized robots to meet all the needs. Although the terminal was not standardized, the requirements for the controller were relatively uniform. Therefore, Xiangong Intelligent focused on developing high-performance, easy-to-integrate controllers and digital software to solve the technical threshold of manufacturing robots. The SRC controller helps customers manufacture suitable robots, and the digital software helps customers use the robots well. Through specialization and cooperation with partners, Xiangong Intelligent realized the development from the universal controller SRC - 2000 to the universal intelligent robot controller SRC - 5000, helping more than 1200 integrated companies to manufacture robots independently. His resume was also quite exciting. When he was studying at Zhejiang University, he led the team to win the World Cup championship in the RoboCup small soccer robot competition three times, which laid the foundation for his business. In 2015, he and his friends formed a start-up team. In 2022, he led the research and development team to launch the safety robot controller SRC -3000fs, which passed the SGS TÜ V SAAR functional safety certification and was the first controller product in the world to obtain this certification. At the end of the same year, he led the team to jointly compile the world's first "Blue Book on the Development of Industrial Mobile Robot (AGV/AMR) Special Controllers (2022 edition)" to promote the process of the industry's standards for special controllers. In terms of global layout, Xiangong Intelligent began to push forward the sea planning since 2020. After accumulating in 2021 - 2022, its overseas business doubled in 2023 - 2024. If you want to know more about the follow-up, click on the link and read it!
The Automatic Solution of Immortal Artificial Intelligence
SEER was a one-stop smart manufacturing and logistics solution supplier. Its automated solutions covered many aspects: 1. ** Integrated intelligent logistics solution for ATM warehouse allocation ** - ** For raw material storage and logistics **: Use the ATM tray robot, the bin robot, the PC turnover box transport plane, and the MMW-S warehouse allocation integrated system to carry out the work processes of storage, picking, distribution, verification, and distribution. It could reduce manpower and increase production efficiency. Intelligent operation, foolproof and error-proof (Reduce manual operations by more than 90%, the storage/picking/distribution of raw materials can be automated, and manual labor only needs to be done in low-physical labor. Multiple means to prevent mistakes and mistakes), and can be freely expanded according to needs.(It uses the latest AMR tray robot and the combination of the module shelf, which can increase the warehouse capacity step by step according to the production capacity demand. The module shelf guarantees low expansion cost), full-cycle management and full-process tracing (the MMPS system realizes the management of "one object, one yard, one warehouse position", can set business strategies, carry out full-cycle management to improve the material management efficiency, and seamlessly connect with the systems such as ERP and MES to realize two-way tracing) and other advantages. - ** For the logistics of the printed circuit board turnover box **: The chain-type turnover box special plane, the lifting type turnover box special plane, the printed circuit board turnover box rack, and the MWPS system are used to carry out the work processes such as loading/unloading, buffer storage, and distribution. The advantages of the solution included functional modules, AMR on-demand combination (the two types of equipment could be combined on demand, and the relevant equipment could be deployed on the line according to the capacity matching of the next step or temporary storage needs), etc. 2. ** Smart Logistics Solution from Schneider Factory in the United States **: Introduction of the intelligent laser Slam-type intelligent fork lift to realize the automatic transportation of finished products in the warehouse. The highlights of the program include support for fine obstacle avoidance (optimized operation path and obstacle avoiding system, improved obstacle avoiding accuracy, ensured human-computer interaction safety), laser Slam navigation (Able to adapt to unfavorable ground conditions, trackless autonomous operation, up to a repeated positioning accuracy of +/-5 mm), equipment data connection (Xiangong Intelligent M4 intelligent logistics management system integrated a variety of management functions to achieve the data status of the intelligent fork lift and the roller production line. The operator starts the assignment task through the operation interface, so that the intelligent fork lift and the production line beat are accurately synchronized). 3. **QuickGO Driverless Forklift Solution **: The innovative solution introduced artificial intelligence algorithms, which were easy to deploy and ready to use.(No need to customize a plan for a specific scenario, no need for professional adjustment, no need for other supporting facilities, on-site deployment can be completed in one day, inexperienced personnel can also start, a single fork lift does not need additional dispatching server and full-field network), AI support is easy to learn and use (Intelligent warehouse location identification and Pallet identification, support for multi-angle fork picking of pallets, compatibility with a variety of trays, etc., no need to access the warehouse location management system to know the status of the warehouse location in real time, identify and avoid obstacles through its own sensors), and also condense the loading and unloading scene of the warehouse truck.(The user can remotely operate the fork lift to complete the unloading through the AI), the free transportation of the warehouse (the user can customize the starting and ending positions on the tablet to place orders for transportation and adjust the task), and other general operation application scenarios. If you want to know more about the follow-up, click on the link and read it!
AI artificial intelligence artificial intelligence
Artificial intelligence (AI) is a broad term used to describe applications that perform complex tasks that used to require human input. It includes subfields such as machine learning and deep learning. Machine learning focuses on building systems that can learn or improve performance based on the data they use. The goal of artificial intelligence is to create a self-learning system that can solve problems like humans. Artificial intelligence could be applied to various fields, such as online communication with customers, chess, image recognition, and so on. It also streamlines business processes, improves the customer experience, and speeds up innovation. The development of artificial intelligence had gone through many stages, from general-purpose computing devices to logical reasoning expert systems, to deep learning computing systems and large model computing systems. The current level of artificial intelligence is called narrow artificial intelligence (ANI). It performs well on specific tasks, but it cannot learn new skills or understand the world in depth. Super Artificial Intelligence (ASI) was a postulated future state with intelligence surpassing human intelligence. At present, artificial intelligence surpassed humans in some tasks, but still lagged behind in other tasks. The industry played a leading role in the cutting-edge research of artificial intelligence, and the cost of training cutting-edge models was getting higher and higher. In the future, the development of artificial intelligence might bring more breakthroughs and applications.
Treatment of employees of the Immortal Artificial Intelligence System
The salary range of Immortal Artificial Intelligence was 3K-50K, and 66.4% of the positions received 10K-30K. Wages between 10K and 15K accounted for the largest proportion, accounting for 27.1%. In 2024, it was 9% lower than in 2023. According to the statistics of academic qualifications, the salary of a bachelor's degree was about 23.0K, and the salary of a master's degree was about 26.8K. According to regional statistics, the salary in Shanghai was about 23.3K, while the salary in Guangzhou was about 14.2K. The salary range for a senior software engineer (5 - 10 years of experience, bachelor's degree) was 30K-50K, and the salary was about 40K. However, it should be noted that these data depended on the salary sample of the online position in the year and could not fully represent the actual situation within the company. It was only for reference. If you want to know more about the follow-up, click on the link and read it!
artificial intelligence
be ignorant of If you want to know more about the follow-up, click on the link and read it!
Artificial Intelligence
The following are some papers on artificial intelligence: - **wide_deep model paper **: It helps to understand the relationship between deep and shallow layers in fully connected networks. The wide model is a shallow model, which can highly fit training samples but has poor generalization ability. The deep model is a deep model, which has good generalization but poor fitting ability. The two shared the loss value of back-transmission through joint training methods to train the comprehensive advantages. Link to thesis: <strong></strong></strong> arxiv.org/pdf/1606.07792.pdf - **Adam related paper **:"Adam: A Method for Stochastic-optimization", which helps to understand the widely used principle of Adam. Paper link: <anno data-annotation-id ="33333f04 - 4c66 - 4c60 - 9999 - 9c111999999"></anno></anno> arxiv.org/pdf/1412.6980v8.pdf - ** Target Drop Out Model Thesis **: This model no longer randomly drops nodes in proportion like ordinary dropouts. Instead, it drops nodes according to the importance of the weight of the neurons. The effect is better. Link to thesis: <strong></strong></strong> openreview.net/pdf? id=HkghWScuoQ - **Xception model thesis **: Xception: Deep Learning with Depthwise Separable Consequences. Its technology has become part of the AI development knowledge system and is of great significance in the field of image classification. The thesis website is at: <anno data-annotation-id ="333333f-b7f6 - 4110 - 4220 - 925b6f5128"></anno>arxiv.org/abs/1610.02357 - ** Residue structure thesis **:"Deep ResidualLearning for Image Recognition". The residual structure had a far-reaching impact on AI technology. It could make the network reach hundreds of layers deep and was used by many models. Author's thesis: <strong></strong> arxiv.org/abs/1512.03385 - ** Hole Consecutive Thesis **:"Multi-scale context aggravation by diluted convolutions". You can view the exponential relationship between the perceptual field and the number of layers of the hollow convolutions. Author's thesis: <strong></strong> arxiv.org/abs/1511.07122v3 - **DenseNet thesis **:"Densely Coupled Chaotic Network". The DenseNet model has a unique effect. Link to thesis: <strong></strong></strong> arxiv.org/abs/1608.06993 - **GloVe(2014) paper **:"Glove: Global Vectors for Word Representative." This is a word embedding model based on reducing the dimensions of the word co-occurrence matrix. It can be extended to large-scale text corpuses using the implicit representation method, which helps to understand the basic knowledge of word embedding and its importance. Link to thesis: <strong></strong> www.aclweb.org/anthology/D14 - **Adaboost(1997) paper **: The Adaboost algorithm proposed by Freund and Schapire is a meta-inspired learning algorithm that can apply a "weak" model to a "strong" classification, but it is easy to overfit. Link to the thesis: """"""""& "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
By 2025, artificial intelligence
By 2025, artificial intelligence was expected to show the following development trends: 1. ** Enhanced Work **: Humans will use artificial intelligence to expand their technological capabilities more thoughtfully, rather than simply integrating chatbots into everything, so that they have more time to do work that requires creativity and communication skills. 2. ** Real-time automatic decision-making **: Some companies will use artificial intelligence to achieve business process automaton. In the areas of logistics, customer support, and marketing, they will make decisions through algorithms to improve efficiency and respond to market fluctuations faster. 3. **"responsible" artificial intelligence **: The development and application of artificial intelligence will pay more attention to ethics and respect for intellectual property rights. Otherwise, companies may face exposure, regulation pressure, and user abandonment. 4. ** Wensheng video and a new generation of voice assistants **: Like the creation of videos by text descriptions demonstrated by Sora, a Wensheng video model of the company, and the function of a chatbot similar to ChatGPM to conduct human-like conversations, will appear in more devices. 5. ** AI laws and regulations are more complete **: More and more countries will implement AI governance laws. 6. ** Artificial intelligence may become popular **: Artificial intelligence has autonomy, adaptability, and the ability to interact. It can learn independently and continuously evolve. It is seen as an important step towards general artificial intelligence. 7. ** Post-truth world **: The world will face the challenge of the flood of false information brought about by artificial intelligence, and governments will speed up the formulation of laws and improve the public's ability to identify through education. 8. Quantum artificial intelligence: Quantum computing could bring revolutionary changes to artificial intelligence, allowing algorithms to run hundreds of millions of times faster than standard computers, creating new possibilities for vaccine, pharmaceutical research and development, new materials, and new energy production. 9. ** Artificial Intelligence + Network Security **: The chatbot can simulate "fishing" to teach people how to prevent fraud. At the same time, artificial intelligence can detect potential loopholes and abnormalities in advance and improve the level of network security system automaton. 10. **"Sustained" artificial intelligence **: Artificial intelligence will become a powerful tool to protect the environment. People will pay more attention to its energy consumption, use sustainable and sustainable energy to power the data center, and help in the optimization of resource consumption in agriculture and transportation to reduce carbon footprints. From an investment perspective, in 2025, we need to closely track the expansion trend of artificial intelligence application scenarios, especially 2B application scenarios. For example, AI may be the first to achieve a major breakthrough in the field of pharmaceutical research and development as the first batch of AI derivative drugs enter phase III clinical trials. UAVs will also integrate AI applications. The advanced level of future weapon systems may depend on the application of AI technology. However, the development of AI in the 2B application field was also affected by the external environment, such as the user's willingness to purchase after the integration of Copilot in the Microsoft-based Windows system, changes in the operating costs of enterprises, and the impact of international situations (such as the US policy toward China, the Russian-Ukrainian war situation, etc.) on exchange rates and oil prices. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Artificial Intelligence
" Artificial Intelligence " presented us with a futuristic world with advanced technology. There, humans had made great achievements in the field of robot manufacturing, especially artificial intelligence. The robots in the movie could not only handle daily affairs, but also possess human intelligence and some emotions. A character like David, who was created to fill the emotional gap in the family, had complex and profound interactions with the human family. From giving his family a headache at the beginning to gradually building a deep relationship, to later being abandoned by a real human child, his experience caused many thoughts. This allows us to see the opportunities and challenges brought by the development of artificial intelligence. On the one hand, it could provide help and companionship in all aspects of life like David. On the other hand, when its relationship with humans was too close, problems such as ethics and emotional belonging would emerge. It warned us that while pursuing the advancement of artificial intelligence, we must also think about how to deal with these potential problems to ensure the harmonious symbiosis between human society and artificial intelligence. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!