The external network is hotly discussing the China artificial intelligence satellite special police, and it is ready to be tested.

China’s Xinhua News Agency announced that China is going to explore and study an asteroid’s capture and capture action, and return the obtained related substances. This is the first time that humans have captured planetary matter with space technology.

Recently, China Xinhua News Agency announced that China Aerospace Agency is ready to start the crawling work on an asteroid named HO3, which was named in 2016. This time, China will send its own automatic unmanned spacecraft called robot. This unmanned spacecraft satellite system will explore the whole satellite-comet model, and one of its tasks is to explore this asteroid numbered HO32112016.

Its main way is different from that of other countries. It will not land on the surface of an asteroid, but will revolve around it, run synchronously with the asteroid, and finally get closer and closer. After approaching the asteroid, use your own intelligent robotic arm to grab a certain part of the asteroid. In this case, a real unmanned space operation will be formed. China’s chief designer also conducted relevant discussions and discussions on people from Chinese mainland, Hong Kong, Macao and Taiwan. China will begin to implement this plan soon.

Nasa and other countries have explored asteroids. For example, Japan explored an asteroid in 2021 and 2022. However, they usually use satellites to orbit asteroids or asteroid observation detectors.

However, it is the first time to realize common orbit operation around asteroids and finally get close to them, and use intelligent arms to dig on asteroids instead of landing on them. This requires extremely high control system, remote control system.

According to NASA, this asteroid is far away from the earth. So in theory, it should not be regarded as a pure satellite of the earth, but in fact it is also an asteroid relatively very close to the earth. NASA also thinks that it is really a good idea for China to choose this asteroid HO32112016 for this job.

However, this method uses its own intelligent unmanned spacecraft and intelligent mechanical arm to grab around the outside of the asteroid while rotating, which is very difficult to implement. For numerical control and remote control technology, once a mistake occurs, the satellite may hit the asteroid. Lesa once enjoyed this way, but for Lesa, his spokesman, engineer Robert Hills, said it was impossible to achieve it easily, and it was far more difficult than launching the probe to an asteroid and starting it again like the Japanese way.

Why did China take this completely autonomous way to crawl around the asteroid from a distance, which humans have never done before? China holds advanced technologies in some fields in the field of aerospace. I also want to show this technology to more people. Let you know that I can realize this technology of grabbing from a distance that you can’t even think of.

That is, China launches an unmanned spacecraft first, and he revolves around this asteroid first, getting closer and closer. Close to a certain extent, you have to keep running at the same speed as the asteroid, stretch out the robot arm and grab the dust from the asteroid while moving, then put it in your storage cabin and fly away. Then explore its parent comet, number 416410490106, and finally return to Earth.

I think China is crazy now. They say the United States is crazy, but in fact China is crazy. You always create such difficult movements. Do you really want to explore human space exploration to the limit?

This technology is too difficult. If China wants to land on this asteroid named HO3 in 2016, it is not difficult, and so can its lander technology. Since China can land on Mars and the moon, he can also land on an asteroid, just like we do in Japan, but the problem is that if he doesn’t do this, he will stretch out his robotic arm to catch the asteroid in the process of synchronization with the asteroid.

This is a demonstration of China, do you understand? Let you feel how powerful his control ability is, and he said that this is an unmanned mode. My God, this is really a difficult move. Are China people really willing to take this risk? A fully automatic satellite detection robot like this also needs millions of dollars.

I think China’s model is a little too perfect. If this model is successful, China has created a real pioneering work of mankind. It is in space that an unmanned autonomous robot satellite, or mechanical detector, volleys at an asteroid to grab its material. I’m afraid that many countries will plagiarize this method in the future, so it will reduce the second landing, the second take-off and landing, and a lot of fuel will allow him to continue to perform new tasks.

That’s a good idea, but you know this running algorithm and automatic artificial intelligence algorithm. It’s too difficult. If China really succeeds, no matter how much material you get back, it will be the miracle of the first unmanned AI algorithm.

Recently the United States is developing AI. The intelligent robot controls the F16 fighter to demonstrate the AI capability of the United States. Experts in China say that the United States is 30 years ahead of China in this field. If China realizes the simultaneous orbit capture of asteroids and robots of automatic unmanned spacecraft this time, then I want to know who is 30 years ahead of who. So, China’s unmanned automatic control technology and algorithms far surpass those of the West and the United States. I think that if this new technology of China is really realized, it means that China’s unmanned AI space intelligence algorithm is perfect and can be copied.

The seventh generation of agricultural robots, the whole environment "data" monitoring irrigation! Science and Technology Empowers Jinshan "Smart Agriculture"

Jinshan as an agricultural regionIn recent years, the transformation of old and new kinetic energy in agriculture has been continuously promoted.Through the empowerment of science and technology, we will accelerate the development of agriculture into science and technology, intelligence, informationization and precision, and put wings on rural revitalization..

At present, it is spring ploughing season. At Diantian Robot Smart Farm in Tinglin Town, technician Zhou Pengfei is debugging the latest generation of agricultural robots with his colleagues. Rotary tillage, ridging, watering, sowing, and sending operation instructions through mobile phones, these agricultural robots equipped with GPS and Beidou dual systems will "do their jobs" and automatically realize accurate operations with an error of less than 5 cm.

Zhou Pengfei, Technician of Shanghai Diantian Agricultural Cooperative.

Manual operation can’t make a straight line. If we use our machine, every positioning is very accurate, and a straight line will be formed from point to point, making the ridge surface very flat.

In order to change the traditional agricultural production mode, six years ago, Shanghai Diantian Agricultural Cooperative targeted the field of intelligent agricultural robots. Nowadays, the agricultural robots in the cooperative have been updated to the seventh generation. By using technologies such as 5G, artificial intelligence image recognition and big data system, more than 30 tasks such as farming, weeding and picking can be carried out, covering all aspects from cultivated land to harvest.

Zhangqian, a staff member of Shanghai Diantian Agricultural Professional Cooperative.

After upgrading, we also have some of our own supply chains, including some cooperative factories.

At the same time, the AI intelligent operating system and saiga architecture of agricultural robots independently developed by the cooperative can realize the cooperative operation of multiple agricultural robots independently, and truly realize the digitalization of the whole process of agricultural planting and farming management. At present, these intelligent agricultural robots have been widely used in farms in Shanghai, Zhejiang and Northeast China. In 2023, the annual GDP of cooperatives is expected to reach 150 million yuan.

Wang Jinyue, Chairman of Shanghai Diantian Agricultural Cooperative.

In the future, this R&D system will be more open, open source and more adaptable.

"Intelligentization" is not only applied to agricultural operations, but also reflected in modern agricultural irrigation. In the cooperative base of Tinglin Town Huawei Water Saving Technology Group Co., Ltd., a large number of air and soil sensors are distributed in the intelligent strawberry greenhouse with full environmental control. They pay close attention to the growth of crops all the time, and the data such as soil pH value and dry humidity will be monitored in real time and sent back to the computer, which will give instructions after judgment, so as to realize accurate automatic irrigation.

Jiang Tingting, technician of Huawei Water Saving Technology Group Co., Ltd.

The expert system will analyze whether these data are in line with the growth of crops, so that we can know whether it needs watering or fertilization.

By monitoring irrigation with "data" of the whole environment, each greenhouse can save more than 95% of water and fertilizer, and the strawberry yield is also increased by nearly 30%. At present, Huawei has carried out intelligent water and fertilizer integration, Internet of Things agriculture, digital factory, facility cultivation system construction and technical guidance in all regions of the country, covering an area of more than 3 million mu in 25 provinces across the country. Only Huawei drip irrigation technology can benefit about 1.2 million mu of farmland every year, saving costs and increasing efficiency for growers by about 1.2 billion yuan.

Lv Mingli, Chairman of Huawei Water Saving Technology Group Co., Ltd.

Huawei has accumulated more than 20 years in the industry, and we are the first entity to realize the commercial application of crop growth models, accurately matching different growth stages to meet the needs of water, fertilizer, light and heat.

At present, Jinshan District has established smart agriculture experimental zones such as BOE, Songlin, Jiufeng and Rongmei. The intelligent soilless culture system was built by Zhilian Factory, a special vegetable in Langxia Town, BOE, with the help of AI technology, and the mechanized planting coverage in the vegetable growing process was over 90%. Dingdong is the first self-operated vegetable planting base to buy vegetables, which can realize the mechanization of seedling raising, tillage, ridging, transplanting, plant protection and harvesting. In the next step, Jinshan will focus on the joint construction of the national agricultural science and technology modernization pioneer zone, and continuously introduce, digest and absorb cutting-edge agricultural science and technology achievements, so that digital empowerment can promote the high-quality development of Jinshan agriculture.

Brave has launched a new tool to compete with Internet browser ChatGPT.

Artificial intelligence (AI) is all the rage, and Silicon Valley giants are competing with ChatGPT developed by OpenAI in an attempt to move stones in the scientific and technological community. Brave, an Internet browser focusing on speed and privacy, also announced its own artificial intelligence-based tool Summarizer.

The new feature named Summarizer will try to respond quickly to any questions you ask. It does this by getting information from various sources and summarizing it into a consistent text block at the top of search results.

At present, Google has a similar function on its search results page, but the difference is that Google obtains the abstract text from a single source that it considers reliable. On the other hand, Brave integrates multiple resources and uses its artificial intelligence to combine them into a unified response.

The developer of Brave said that Summarizer is not an efficient AI, which makes it different from things like ChatGPT. The company said that the manufacturer AI has its own problems and can make unconfirmed statements, which is obviously a problem for tools designed to generate reliable summaries and reliable answers. Microsoft added ChatGPT to Bing with traces of bad behavior, especially in this respect.

Instead, Brave’s Summarizer is supported by Large Language Models (LLM), which are trained to "handle multiple information sources available on the Web". This not only ensures the accuracy, but also makes the results more concise.

Below the abstract text is a link to the source. So if you want to know more information, you can browse the original text at any time. Brave said that these links will always be available so that they can always be properly attributed to the response, and users can "assess the credibility of the source". Brave believes that this will help to "reduce the authority bias of major language models".

In addition to the main summary, the new feature will begin to replace the descriptive text that appears under the title of each search result. Previously, this text was a fragment somewhere in every search result. Now, there will be a full-text summary generated by AI.

Brave’s developer said that he didn’t believe that LLM could completely replace traditional search, but could help users find search results. Brave said that when LLM is applied to other functions in the browser, the result will be truly efficient and revolutionary.

Since Summarizer is still in the early stage of development, Brave said that this function may produce an artificial AI appearance, combining irrelevant text with small pieces of data and inaccurate or offensive text. The company is trying to improve Summarizer based on user feedback and hopes to eliminate these puzzles.

Brave’s Summarizer tool is currently available, but people who don’t like it can disable it in the application settings. Whether it can provide a reliable alternative to ChatGPT and help shape the future of search remains to be seen.

36Kr Project Report | Providing big data solutions for ecological space, "Morrel Intelligence" develops general artificial intelligence Internet of Things technology.

The word "big data" has appeared 14 times in the draft of the 14th Five-Year Plan. It can be seen that, as an important vane of national economic and social development, the 14th Five-Year Plan has still made important arrangements for the development of big data, and the guidance for the development of big data in the plan has been integrated into all chapters. Big data is no longer an emerging technology industry, but is becoming an element, resource, motive force and concept integrated into various fields of economic and social development.

The 14th Five-Year Big Data Industry Development Plan issued by the Ministry of Industry and Information Technology at the end of 2021 further points out that by 2025, the estimated scale of China’s big data industry will exceed 3 trillion yuan, and a modern big data industry system with strong innovation, high added value and self-control will basically take shape.

Up to now, the domestic ecological space big data is still in a relatively blank state, and the digital industry based on ecological space is still in an undeveloped field, and only has small-scale applications in agriculture and water conservancy.

According to the data provided by IBM Business Value Research Institute, the total scale of ecological space in China is over 800 million hectares, of which the environmental data gap is over 78%. Moreover, the existing technical means are mostly low-frequency data monitoring and display, lacking in-depth and cross-industry data statistics and comprehensive learning ability, and unable to deeply process the collected data.

Morrel intelligent technologyCompany Limited (hereinafter referred to as "Morrel Intelligence") is a data service company that provides solutions for "big data in ecological space". Based on ANN (Artificial Neural Network) architecture, the company combines self-developed patent algorithm and uses AGIoT (Internet of Things with General Artificial Intelligence) technology to ensure the completeness of data from collection to analysis and application.

"We collect distributed real-time data through various sensing devices of AGIoT technology, and combine the deep learning algorithm of ANN architecture to fit, analyze, summarize and re-learn the data of various dimensions, thus forming application data units that can face different industries." Yang Li, founder and CEO of Morrel, introduced to 36Kr: "At present, Morrel’s intelligent ecological space big data solution has been widely used in agriculture, water conservancy, fishery, forest fire prevention, disaster prevention, medical treatment, construction, environmental protection and many other industries and application fields."

Artificial intelligence is entering a new stage of development. Traditional weak artificial intelligence is also called narrow artificial intelligence, which can only cover a single application field. General artificial intelligence is also considered as strong artificial intelligence, which can realize more comprehensive intelligence and self-awareness. From the perspective of industrial development, at present, it is moving towards the stage of general artificial intelligence.

The drive of big data has made a great breakthrough in artificial intelligence. Without data learning, it can make a reasonable response through reasoning, so as to interact with things that have never been seen or learned, and it has developed into a mature system to avoid potential risks.

Intelligently, Morrel believes that ecological space big data can be collected, integrated, stored, analyzed and applied through acoustic sensors, biosensors, chemical sensors, RFD technology, satellite remote sensing, video sensing, optical sensors and manual monitoring, etc. Ecological spatial data are mostly characterized by flow, and real-time continuous observation is particularly important. Only by processing and analyzing these dynamic new data in real time, and combining with the existing historical data, can we dig out useful information, provide scientific decision-making, and have more statistical significance.

The R&D capability of Morel’s intelligent ecological space big data solution comes from the accumulation of Bill Electronics (Bill Laboratories) before, and the core team has been deeply involved in AIoT for more than ten years. With its own equipment, products, data and analysis capabilities, it has formed a closed loop of R&D, a closed loop of products and a closed loop of sales.

Yang Li further introduced: The learning speed of this ecological space big data solution based on neural network and AGIoT is much faster than that of traditional algorithms. Morel Intelligent has both algorithm threshold and moat in application layer and data cycle. We now have five expert teams including water conservancy, environment, agriculture, chemical industry and data. Expert teams in different fields can provide timely information feedback and teach our system to learn and grow.

Morrel’s intelligence has been rooted in the agricultural field for the longest time. According to the introduction, supported by Morrel’s intelligence to provide full growth cycle data, China’s first documentary about rural revitalization, The Melody Ripes, the Till the Fall, has been broadcast on CCTV-17 Agricultural and Rural Channel. Through the real-time monitoring of AGIoT equipment, the study of farmers’ personal planting habits, the formulation of soil improvement programs, the realization of fine planting and scientific management, and finally the goal of reducing pests and diseases, reducing costs and increasing efficiency.

Moreover, based on its own high-frequency analysis of data collection, Morrel Intelligent can provide customers with a product traceability platform of full-cycle data services and third-party certification.

In addition, Morel’s intelligent ecological space big data solution not only provides real-time environmental monitoring for kindergartens, but also intelligent health management for municipal road lighting, and also provides real-time ground detection of satellite solar panel deployment devices for aerospace fields.

There are two ways for Morrel to acquire customers. One is to absorb the resources of local partners or distributors through localized operation, and jointly expand the localized business; Secondly, through the combination of Industry-University-Research, cooperation with higher education institutions, and participation in vocational training and vocational certification, we can promote targeted marketing to the end market.

At present, Morrel Intelligent has more than 500 customers, providing 55 categories, totaling more than a thousand sets of equipment, with valid data exceeding 200GB, analyzable abnormal data exceeding 2TB, and annual contract amount exceeding 10 million.

According to reports, its project has achieved the global coverage of the domestic market, and has been expanding the markets of ASEAN and the European Union through agents, with fruitful results. Affected by the epidemic, Cambodia, Vietnam and Indonesia of ASEAN, Germany and Belgium of the European Union will provide localized solutions by agents after the epidemic eases.

Morrel was founded in 2018, and its core team consists of expert teams who have been deeply involved in artificial intelligence, electric lighting, communication engineering, agriculture and forestry science and technology, natural science and other fields for more than ten years. It is a national high-tech enterprise and a national small and medium-sized science and technology enterprise. At present, it owns 17 intellectual property rights and two invention patents are being applied for. It is reported that Morrel Intelligence is starting a new round of financing. The financing funds will be used for equipment investment and R&D investment, and it is cooperating with industrial funds to build its own specialized and intelligent production factory.