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.
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!
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.
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!
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!
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.
artificial intelligence
be ignorant of If you want to know more about the follow-up, click on the link and read it!
Artificial Intelligence, 2045
According to futurist Ray Kurzweil's prediction, 2045 would be a key point in time, the arrival of the technological singularity. The technological singularity referred to the theoretical critical point where artificial intelligence surpassed human intelligence. By 2045, a $1000 computing device will surpass the total computing power of all human brains. This prediction is based on the growth trend of several key data: 1. Increasing computing power: Moore's Law continues to verify that computing power doubles every 18 months. Since 1956, computing power has increased by 1 trillion times. If this trend continues, a single computing device will have the computing power of all human brains combined by 2045. 2. AI model scale growth: From 2018 to 2023, the scale of AI model parameters will continue to grow. For example, in 2018, there were 340 million parameters in the Bert model, and in 2023, the GPM- 4 model is expected to exceed 1 trillion parameters. The growth rate will double every 3 - 4 months. 3. Energy efficiency improvement: The energy consumption required for each calculation is reduced by 30% per year. In the 1950s, each calculation required 1 kWh. Now, each calculation requires only a few kWh. 4. There were also some breakthroughs in technology, such as quantum computing research breakthroughs, neuromorphosis computing progress, biocomputing development, and the emergence of new semiconductor materials. As these trends develop, artificial intelligence will surpass humans in intelligence in 2045, and technological progress will be so fast that it will exceed human understanding and prediction. "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 (AI) was an intersecting discipline that integrated and developed from multiple disciplines. It covered computer science, cybernetics, information theory, and other disciplines. It simulated human thoughts and behaviors through computers, and its core was machine learning algorithms. The Dartmouth conference in 1956 formally proposed this concept, which referred to a system that had a certain degree of autonomy to achieve specific goals and display intelligent behavior by analyzing the environment. It included three key technologies: computing power breakthrough, data flood, and algorithm innovation. It was one of the three cutting-edge technologies in the world and the 21st century. The mainstream forms of development were deep learning algorithms, big models, and big data. Its technical system included machine learning, natural language processing technology, image processing technology, and human-computer interaction technology. Artificial intelligence's achievements in many fields, such as big data analysis, autonomous driving, smart finance, and smart robots, had attracted worldwide attention. It could replace part of the traditional labor force to produce labor crowding out effect, but at the same time, it also created new jobs. In the field of education, conversational artificial intelligence had been more mature and had performed well in explaining knowledge and teaching students according to their aptitude. Moreover, it was widely used in many fields such as image recognition, voice assistant, and smart medicine. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Artificial Intelligence in 2050
By 2050, artificial intelligence was expected to make significant progress in many aspects. On the technical level, it might witness the birth of general artificial intelligence (AGI), a machine with human-level intelligence that could perform a variety of tasks in a wide range of fields. This required solving many challenging problems such as knowledge representation, autonomous learning, perception and cognition, reasoning and decision-making, emotional intelligence, and so on. By developing new algorithms, computational models, and architecture, an AI system with autonomous learning and reasoning capabilities was built. It was expected that AI systems could achieve self-adaptation and autonomous learning. They could continuously improve and optimize themselves without human intervention, deal with more complex and diverse tasks, and reduce reliance on manually labeled data. This required the development of new learning algorithms such as meta-learning, unsupervised learning, and reinforcement learning, as well as the exploration of introducing human prior knowledge and experience into AI systems. With the deep understanding of the working principle of the brain and the development of neural bionic hardware, it is possible to develop an AI system that is closer to the human brain. The neural bionic computing model and algorithms will provide more efficient learning and reasoning capabilities, lower energy consumption, and give the AI system richer perception and cognitive abilities to better understand and process complex information in the natural environment. The development of quantum computing technology would also have a major impact on the field of AI. Quantum computing could provide more efficient solutions for problems such as optimization, search, and pattern recognition in the field of AI. It could also improve the security of AI systems. However, to fully utilize the potential of quantum computing, new quantum algorithms and quantum computer architecture needed to be developed and combined with existing AI technology. From the perspective of application fields, the current application scenarios of AI had penetrated into various industries such as health care, finance, manufacturing, education, transportation, and retail. By 2050, with the continuous development of AI technology, its application fields might be further expanded and the degree of intelligence would be higher. However, with the popularity and development of AI technology, there are also many moral and ethical challenges, such as data privacy, algorithm fairness, responsibility, and employment. Technically, it was necessary to develop safer, more transparent, and explainable AI systems. Policy-wise, it was necessary to formulate corresponding regulations and standards. Morally, it was necessary to promote cross-disciplinary research and cooperation to ensure that the development of AI technology was in line with human values and interests. At present, China's AI production value is expected to account for one-third of the world's total in the future, reaching 2 trillion US dollars. By 2050, China's automaton rate would rise to 90%, which also reflected the development of artificial intelligence in China and its impact on various industries. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
2025 Artificial Intelligence
In 2025, artificial intelligence will show many development trends: 1. ** Work model **: Humans will be more thoughtful when using artificial intelligence to expand their technical capabilities. It will not just be a simple integration of chatbots into everything. People will have more time to engage in work that requires creativity and communication skills, and human-machine cooperation will be closer. For example, in the manufacturing industry, intelligent robots would work with workers to complete complex production tasks, and in the medical field, AI assisted diagnosis systems would help doctors judge the condition. 2. ** Enterprise decision-making **: Some companies are using artificial intelligence to turn to business process automations. Domains such as logistics, customer support, and marketing can use algorithms to make decisions to improve corporate efficiency and respond to market fluctuations faster. 3. ** In terms of ethics and application development **: AI development and application will focus more on ethics and respect for intellectual property rights. Those who ignore this aspect may face exposure, pressure from regulation, and user abandonment. Firms would step up regulation of algorithm bias, data privacy, and ethical norms, and the government would introduce laws and regulations to regulate their use. 4. ** In terms of technical functions **, the functions related to Vincent Video and the new generation of voice assistants will appear in more devices. It would be more common for users to create videos with simple text descriptions, and smart voice assistants would be more intelligent and considerate. 5. ** In terms of legal supervision **: AI laws and regulations will be more perfect, and more countries will implement AI governance laws. 6. ** Intelligent entities **: Artificial intelligence may be popular. This kind of intelligent system with autonomy, adaptability, and interaction capabilities, independent learning, and continuous evolution is seen as an important step towards achieving general artificial intelligence. 7. ** Information Dissemination **: The world will face the challenge of the spread of false information brought about by artificial intelligence. National governments will speed up the formulation of laws and improve the public's ability to identify through education. AI will also automatically identify and filter false information to help people improve their information literacy. 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 in many fields such as vaccine, pharmaceutical research and development, new materials, and new energy production. 9. ** Cyber security **: Cyber attacks will become more frequent and complex. Artificial intelligence will detect potential loopholes and anomalies in advance, greatly improving the level of cybersecurity system automaton, and become an important line of defense for cybersecurity, such as real-time monitoring of network traffic, identification and interception of malicious attacks, etc. 10. In terms of sustainable development, artificial intelligence will become a powerful tool to protect the environment. People will pay attention to its energy consumption and turn to the use of sustainable and sustainable energy to power the data center. It will also help to maximize resource consumption in agriculture and transportation and reduce carbon footprints. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!