Google's new generation of flagship smartphone Pixel 9 series is expected to be officially released in mid-August, and the new machine is likely to be equipped with ultrasonic fingerprint recognition technology for the first time to replace the original optical fingerprint recognition. According to core intelligence, Google Pixel 9 series will use the same Qualcomm 3D Sonic Gen 2 ultrasonic fingerprint recognition sensor as the Samsung Galaxy S24 Ultra. This ultrasonic technology under the screen fingerprint sensor is Qualcomm released at the CES2021 conference, compared with the previous generation of solutions, the module thickness is further reduced to 0.2mm, while the scanning area is expanded to 8mm×8mm, that is, the recognition area is increased by 77%. This will also allow users to realize fingerprint recognition without having to point their fingertips 100% accurately at the identification area indicated on the screen.

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

The Ukrainian presidential office said on July 8 local time that Russia's large-scale attacks on many parts of Ukraine have killed 36 people and injured 140 others. According to the Ukrainian State Emergency Service, a total of 619 rescue workers and 132 equipment participated in the rescue work across Ukraine that day. Ukrainian President Zelensky said on social media on the 8th that Russia launched more than 40 missiles of various types at Ukraine that day. Residential buildings and infrastructure in many cities in Ukraine were damaged in varying degrees of attacks, and a children's hospital was destroyed. Rescue departments are currently conducting emergency rescue on the scene. The Russian Ministry of Defense issued a statement on the 8th local time saying that Ukrainian officials' claim that Russia used missiles to attack Ukrainian civilian facilities was untrue. The damage suffered by Kiev was caused by the fall of missiles launched by the city's air defense system.

Amazon official said that the freight from the Chinese warehouse will be lower than the traditional FBA(Fulfillment by Amazon) fee, similar to the domestic air delivery small package service, which will undoubtedly greatly reduce the logistics costs of sellers. In addition to logistics, Amazon is also responsible for promotion and traffic, of course, sellers can still independently carry out product advertising, pricing and promotion activities, to maintain the personalized and independent brand. Many industry insiders said that Amazon launched the "low-price store" move to fight China's cross-border e-commerce platforms Temu, Shein, AliExpress and so on. Although it provides another platform for China's e-commerce to go to sea, many sellers said that the cost of settling in Amazon cross-border e-commerce has become lower, and they have asked about the conditions of settling in, but the rules look down, in fact, it is not so friendly for sellers.

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.