Xinjiang scientists discover plant with potential to survive on Mars
In a groundbreaking discovery, researchers from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences have found a desert moss species, known as Syntrichia caninervis, that has the potential to survive in the extreme conditions on Mars.
The Global Times learned from the institute that during the third Xinjiang scientific expedition, the research team focused on studying the desert moss and found that it not only challenges people's understanding of the tolerance of organisms in extreme environments, but also demonstrates the ability to survive and regenerate under simulated Martian conditions.
Supported by the Xinjiang scientific expedition project, researchers Li Xiaoshuang, Zhang Daoyuan and Zhang Yuanming from the Xinjiang Institute of Ecology and Geography and Kuang Tingyun, an academician from the Chinese Academy of Sciences, concentrated on studying the "pioneer species" Syntrichia caninervis in an extreme desert environment, according to the institute in an article it sent to the Global Times on Sunday.
Through scientific experiments, the researchers systematically proved that the moss can tolerate over 98 percent cell dehydration, survive at temperatures as low as -196 C without dying, withstand over 5000Gy of gamma radiation without perishing, and quickly recover, turn green, and resume growth, showcasing extraordinary resilience.
These findings push the boundaries of human knowledge on the tolerance of organisms in extreme environments.
Furthermore, the research revealed that under simulated Martian conditions with multiple adversities, Syntrichia caninervis can still survive and regenerate when returned to suitable conditions. This marks the first report of higher plants surviving under simulated Martian conditions.
The research team also identified unique characteristics of Syntrichia caninervis. Its overlapping leaves reduce water evaporation, while the white tips of the leaves reflect intense sunlight. Additionally, the innovative "top-down" water absorption mode of the white tips efficiently collects and transports water from the atmosphere. Moreover, the moss can enter a selective metabolic dormancy state in adverse environments and rapidly provide the energy needed for recovery when its surrounding environment improves.
Based on the extreme environmental tolerance of Syntrichia caninervis, the research team plans to conduct experiments on spacecraft to monitor the survival response and adaptation capabilities of the species under microgravity and various ionizing radiation adversities. They aim to unravel the physiological and molecular basis of the moss and explore the key life tolerance regulatory mechanisms, laying the foundation for future applications of Syntrichia caninervis in outer space colonization.
Stanford AI project team apologizes for plagiarizing Chinese model
An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday. We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X. The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500. According to media reports, the announcement published by one of the team members quickly received more than 300,000 views. However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University. Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project. They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work. In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing. According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public. He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment. Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X. As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing. Global Times
China proposes to establish BCI committee to strive for domestic innovation
China is mulling over establishing a Brain-Computer Interface (BCI) standardization technical committee under its Ministry of Industry and Information Technology (MIIT), aiming to guide enterprises to enhance industrial standards and boost domestic innovation. The proposed committee, revealed by the MIIT on Monday, will work on composing a BCI standards roadmap for the entire industry development as well as the standards for the research and development of the key technologies involved, according to the MIIT. China has taken strides in developing the BCI industry over the years, not only providing abundant policy support but also generous financial investment, Li Wenyu, secretary of the Brain-Computer Interface Industrial Alliance, told the Global Times. From last year to 2024, both the central and local governments have successively issued relevant policies to support industrial development. The MIIT in 2023 rolled out a plan selecting and promoting a group of units with strong innovation capabilities to break through landmark technological products and accelerate the application of new technologies and products. The Beijing local government also released an action plan to accelerate the industry in the capital (2024-2030) this year. In 2023, there were no fewer than 20 publicly disclosed financing events for BCI companies in China, with a total disclosed amount exceeding 150 million yuan ($20.6 million), Li said. “The strong support from the government has injected momentum into industrial innovation.” The fact that China's BCI industry started later than Western countries such as the US is a reality, leading to the gap in China regarding technological breakthroughs, industrial synergy, and talent development, according to Li. To further close gaps and solve bottlenecks in BCI industrial development, Li suggested that the industry explore various technological approaches to suit different application scenarios and encourage more medical facilities powered by BCI to initiate clinical trials by optimizing the development of BCI-related ethics. Additionally, he highlighted that standard development is one of the aspects to enhance the overall level and competitiveness of the industry chain, which could, in turn, empower domestic BCI innovation. While China's BCI technology generally lags behind leading countries like the US in terms of system integration and clinical application, this has not hindered the release of Neucyber, which stands as China's first "high-performance invasive BCI." Neucyber, an invasive implanted BCI technology, was independently developed by Chinese scientists from the Chinese Institute for Brain Research in Beijing. Li Yuan, Business Development Director of Beijing Xinzhida Neurotechnology, the company that co-developed this BCI system, told the Global Times that the breakthrough of Neucyber could not have been achieved without the efforts of the institute gathering superior resources from various teams in Beijing. A group of mature talents were gathered within the institute, from specific fields involving electrodes, chips, algorithms, software, and materials, Li Yuan said. Shrugging off the outside world's focus on China’s competition with the US in this regard, Li Yuan said her team doesn’t want to be imaginative and talk too much, but strives to produce a set of products step by step that can be useful in actual applications. In addition, Li Wenyu also attributed the emergence of Neucyber to the independent research atmosphere and the well-established talent nurturing mechanism in the Chinese Institute for Brain Research. He said that to advance China’s BCI industry, it is necessary not only to cultivate domestic talents but also to introduce foreign talents to enhance China's research and innovation capabilities. The proposed plan for establishing the BCI standardization technical committee under the MIIT will solicit public opinions until July 30, 2024.
Clear Check | Russian satellite disintegrated and hit GPS and Starlink satellites?
On June 27, the U.S. Space Command announced that a retired Russian satellite disintegrated in low Earth orbit on June 26, generating more than 100 pieces of debris, forcing astronauts on the International Space Station to hide for about an hour. The X-platform account of the International Space Station showed that shortly after 9 p.m. Eastern Time on June 26, NASA instructed the crew on the space station to hide in their respective spacecraft for safety because NASA learned in the morning of the 26th that a satellite disintegrated near the space station. About an hour later, the crew was allowed to leave the spacecraft and the space station resumed normal operation. There are rumors on social platforms that the satellite hit six U.S. GPS satellites after the disintegration and damaged 20 Starlink satellites developed by Space Exploration Technologies Corporation (SpaceX) led by Musk, triggering speculation that the relevant satellites were deliberately disintegrated.
Record numbers of people are flying. So why are airlines’ profits plunging?
New York CNN — A record number of passengers are expected to pass through US airports this holiday travel week. You’d think this would be a great time to run an airline. You’d be wrong. Airlines face numerous problems, including higher costs, such as fuel, wages and interest rates. And problems at Boeing mean airlines have too few planes to expand routes to support a record numbers of flyers. Strong bookings can’t entirely offset that financial squeeze. The good news for passengers is they will be spared most of the problems hurting airlines’ bottom lines — at least in the near term. Airfares are driven far more by supply and demand, not their costs. But in the long run, the airlines’ difficulties could mean fewer airline routes, less passenger choice and ultimately a less pleasant flying experience. Profit squeeze Industry analysts expect airlines to report a drop of about $2 billion in profit, or 33%, when they report financial results for the April to June period this year. That would follow losses of nearly $800 million across the industry in the first quarter. Labor costs and jet fuel prices, the airlines’ two largest costs, are both sharply higher this year. Airline pilot unions just landed double-digit pay hikes to make up for years of stagnant wages; flight attendant unions now want comparable raises. Jet fuel prices are climbing because of higher demand in the summer. According to the International Air Transport Association’s jet fuel monitor, prices are up 1.4% in just the last week, and about 4% in the last month. Adding to the airlines’ problems is the crisis at Boeing, as well as the less-well-publicized problems with some of the jet engines on planes from rival Airbus. Since an Alaska Airlines Boeing 737 Max jet lost a door plug on a January 5 flight, leaving a gaping hole in the side of the plane 10 minutes after takeoff, the Federal Aviation Administration has limited how many jets Boeing can make over concerns about quality and safety. As a result, airlines have dramatically reduced plans to expand their fleets and replace older planes with more fuel efficient models. In some cases, airlines have asked pilots to take time off without pay, and carriers such as Southwest and United have announced pilot hiring freezes. In addition to the problems at Boeing, hundreds of the Airbus A220 and A320 family of jets globally have also been grounded for at least a month or more to deal with engine problems. Just about all the planes with those engines have been out of sevice for at least a few days to undergo examinations. And Airbus has also cut back the number of planes it expects to deliver to airlines this year because of supply chain problems. Problems for flyers For now, competition in the industry remains fierce: There are 6% more seats available this month compared to July of 2023, according to aviation analytics firm Cirium. And that’s helped to drive fares down — good news for passengers, but more bad news for airlines’ profits. Southwest announced in April that it would stop serving four airports to trim costs — Bellingham International Airport in Washington state, Cozumel International Airport in Mexico, Syracuse Hancock International Airport in New York and Houston’s George Bush Intercontinental Airport. Many more cities lost air service during the financial hard times of the pandemic. While upstart airlines are driving prices lower for travelers, those discount carriers might not survive long term. As the major carriers are making less money, many of the upstarts are flat-out losing money.
ChatGPT： Explained to Kids（How ChatGPT works）
Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.