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.

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

A Portadown man has avoided jail after sexually assaulting a 16-year-old shop worker under his employment. -ADVERTISEMENT- Brian Thomas Chapman (58), of Moyallan Road, appeared before Newry Magistrates’ Court on Monday for sentencing on two counts of sexual assault. The prosecution outlined that on September 23, 2020, a 16-year-old student in the employment of Brian Chapman, disclosed to her mother about incidents that had occurred in her workplace. She said Chapman had put his hand on her thigh and the back of her leg. She also disclosed that she had been getting extra money from him and he had been sending her text messages. The allegations were reported to police the next day, September 24. The victim then took part in an interview on October 9, in which she said, when she was alone in Chapman’s office, he placed his hand on her upper thigh and his other hand on her lower back, underneath her trousers. The defendant was arrested and interviewed at Lurgan police station, where he denied the allegations. His phone was seized and an examination was carried out. The first interview of the defendant took place on October 9, during which he admitted to sending a message about wanting the victim to work 24/7, but stated this was a joke. The second interview took place on January 28, 2021, where he admitted to sending the 24/7 message, but denied sending other messages, such as “hope you’re spending the pounds on something special”. Throughout this process, Chapman denied sending the messages and denied any of the sexual assaults alleged by the victim. On the Chapman’s criminal record, the prosecution added that he was convicted of three common assaults on appeal. In terms of commission, these matters pre-dated this case but the conviction occurred during the running of this case and also involved a female working for the defendant. Prosecution continued that the age of the victim was an aggravating feature, arguing there was a “vulnerability” due to the “power-imbalance” between Chapman and the young student working for him. An additional aggravating feature, they said, was that during the course of the defence, part of the defence was that the victim had “manipulated or manufactured” some of the text messages that were sent. A defence lawyer, speaking on the pre-sentence report, noted the author deemed Chapman to be of low risk. He also noted that similar offences were contested in the County Court in respect of another complaint, with the judge substituting indecent assault charges for common assault. He also argued a Sexual Offences Prevention Order (SOPO) was not necessary as the offending was four years ago, there has been no repetition and risk had been addressed. District Judge Eamonn King noted the defendant was convicted on two of four original charges following a contest, which ran over a number of days, with the case adjourned for a pre-sentence report and victim impact statement to be produced. He added the defendant “continues to deny” the charges and seeks to appeal the outcome. District Judge King, on reading the pre-sentence report, noted the defendant “denies ever hugging or touching the individual and he denies any sexual attraction to the victim”, but pointed to a paragraph in the report which stated, “From the available evidence, it’s possible to surmise that he demonstrated risk taking and impulsive behaviour. It appears that he took advantage of his position and power in a bid to meet his sexual needs, given the victim’s young age and the fact that he was her employer”. The report added that this demonstrated “limited victim empathy and responsibility due to his denial of the offences”. On the victim impact statement, District Judge King described her as a young girl getting her first job, with the “world as her oyster”. He continued: “As a result of what she says occurred, that turned on its head. It left her feeling inwardly uncomfortable, anxious and lonely. She cut herself off from her friends. She stopped going out. She didn’t want to go to school.” He also described a “degree of manipulation” in the case, as this was the victim’s first job and there was a power imbalance between her as an employee, and Chapman as the employer. In his sentencing remarks, District Judge King, said: “I’ve taken time to emphasise to the victim in this case that the victim did nothing wrong. The victim did everything right and the victim shouldn’t feel lonely, anxious or isolated. “The victim should feel confident, strong and outgoing.” Owing to the defendant’s ongoing denial of the charges, he added: “My sentencing exercise isn’t the conclusion of the case today, but I will sentence, so that we can move towards the conclusion going forward. “I am satisfied, irrespective of what the pre-sentence report says, that the defendant took advantage of someone, attempted to groom someone and was guilty of the two offences.” On the two counts, Chapman was sentenced to three months in prison, suspended for two years. He was also made subject to a Sexual Offences Prevention Order (SOPO) for five years and placed on the sex offenders’ register for seven years. Following sentencing, District Judge King fixed bail for appeal at £1,000.

The world's deepest diving pool, Deepspot, opened this weekend near the Polish capital Warsaw. The 45.5-meter pool contains artificial underwater caves, Mayan ruins and a small shipwreck for scuba divers and free divers to explore. Deepspot can hold 8,000 cubic meters of water, more than 20 times the capacity of a normal 25-meter swimming pool. Unlike ordinary swimming pools, Deepspot can still open despite Poland's COVID-19 epidemic prevention restrictions because it is a training center that provides courses. The operator also plans to open a hotel where guests can observe divers at a depth of 5 meters from their rooms. "This is the deepest diving pool in the world," Michael Braszczynski, 47, Deepspot's director and a diving enthusiast, told AFP at the opening yesterday. The current Guinness World Record holder is a 42-meter-deep pool in Montegrotto Terme, Italy. The 50-meter-deep Blue Abyss pool in the UK is scheduled to open in 2021. On the first day of Deepspot's opening, about a dozen people visited, including eight experienced divers who wanted to pass the instructor exam. "There are no spectacular fish or coral reefs here, so it can't replace the ocean, but it is certainly a good place to learn and train safe open water diving," said 39-year-old diving instructor Przemyslaw Kacprzak. "And it's fun! It's like a kindergarten for divers."

As a major city in the United States and even the global film industry, Hollywood has gathered a large number of veteran film and television production companies, including Universal Pictures, Warner Bros., Paramount Pictures, Disney Pictures, MGM Pictures, etc. In addition, new streaming forces such as Netflix have also entered in recent years. When the new generation of technology represented by generative AI sweeps the world, the movie "dream factory" is also experiencing a transformative moment. In early May last year, the US film and television industry launched a series of strikes that lasted for five months. Two labor disputes, led by the Writers Guild and the Screen Actors Guild, have caused the worst industry disruption since the 2020 pandemic, forcing many film projects and TV shows to halt or delay production. The strike has been costly, with Kevin Klowden, chief global strategist at the Milken Institute think tank, estimating it has cost the U.S. economy more than $5 billion, affecting not only film and television production companies, but also surrounding service industries such as catering, trucking and dry cleaning. One of the main conflicts between labor and management is that many actors and screenwriters have expressed concerns about "unemployment" due to the "invasion" of artificial intelligence. Luo Chenya has been working in the film and television industry for more than 10 years, including scriptwriter, documentary photographer and assistant director. She told the first financial reporter that after ChatGPT became popular, she also tried to use chatbots to assist script creation. "I can talk to the AI about my ideas and ideas, and it will help analyze and refine my ideas, and even make some suggestions that I think are quite effective." But on the execution level, the idea of writing it down into a very specific scene, character action, it doesn't really help me." Luo Chenya said that AI still needs more training and evolution in script writing, but the ability to present images is amazing. "AI can directly generate images, which can indeed save labor to a great extent, and may even replace photographers in the future." In post-production, AI can beautify images and modify flaws." A place to be fought over Earlier this year, OpenAI released the Vincennes video model Sora on its website, which can create videos up to a minute long, generating complex scenes with multiple characters, specific types of movement, and precise theme and background details. In addition to being able to generate video from text, the model can also generate video from still images, precisely animating the image content. "Vincennes Video can quickly produce high-quality video content, greatly improving production efficiency, and generative AI helps to improve the analysis of user preferences and personalized recommendations, and enhance the attractiveness of content." These technologies will disrupt traditional video production and content distribution models, and media companies need to adapt and change their operating models." Wang Haoyu, CEO of Mairui Asset Management, said in an interview with the first financial reporter. For this reason, Hollywood giants have long made big bets and stepped up their layout.