| 首页| 长发公主| 你的名字| 一吻定情| 兵临城下| 五感图| 克拉恋人| 东邪西毒|
您的位置:首页 > 新闻中心 > 社会 > 正文

绅士的品格

Twin AI satellites fast-track China's global space partnerships_我的网站

steam

一 |     

People watch a Smart Dragon-3 carrier rocket, carrying Oriental Smart Eye hyperspectral satellites 01 and 02, blasting off from the sea near the city of Haiyang, east China's Shandong Province, Aug. 5, 2026.  (Photo by Tang Ke/Xinhua)
    People watch a Smart Dragon-3 carrier rocket, carrying Oriental Smart Eye hyperspectral satellites 01 and 02, blasting off from the sea near the city of Haiyang, east China's Shandong Province, Aug. 5, 2026. (Photo by Tang Ke/Xinhua)
A burst of flame lit the morning sky over waters off Haiyang in east China's Shandong Province on Wednesday as a Smart Dragon-3 (SD-3) carrier rocket lifted off, drawing cheers from viewing sites along the coast.
Among the spectators were international students studying aerospace subjects in China. Aithana Perez, a Venezuelan aeronautical engineer studying space project management at Hangzhou Innovation Institute of Beihang University, said she and her classmates were excited because their studies involved spacecraft launch, design and operation.
For Marwane Oufrid, a 23-year-old Moroccan student in the same institute specializing in microsatellite technology, it was the first time he had watched a rocket launch in person.
The rocket blasted off at 10:38 a.m. (Beijing Time), delivering the Oriental Smart Eye hyperspectral satellites 01 and 02 into planned orbit.
In their respective cooperation projects with Indonesia and Uzbekistan, Satellite 01 is also known as Lampung-1 and Satellite 02 as Samarkand-2028.
Once in orbit, the satellites turned their attention back toward Earth. Lampung-1 is expected to monitor crop growth and disaster risks in Indonesia, while Samarkand-2028 is designed to support cotton cultivation and other land-monitoring applications in Uzbekistan.
Ordinary optical cameras mainly record the shape and color of objects. Hyperspectral imagers record a detailed spectrum for each image pixel, creating "spectral fingerprints" that can help determine the condition and composition of vegetation, water, soil and minerals.
These spectral "eyes" are paired with onboard AI computing modules capable of delivering up to 400 trillion operations per second. Instead of sending every raw image to the ground, the satellites can identify features, detect anomalies and extract useful information in orbit, potentially shortening delivery time from days to minutes.
Song Bingchen, co-founder of the Star.ai Spatio-temporal Intelligence Technology Co., Ltd., whose subsidiary STAR.VISION developed the satellites, compared the system to moving an AI inference platform from the ground into space.
"It changes the traditional model from transmitting images to transmitting results," Song said.
"Our satellite constellations are open to the world," Song noted, adding that the company welcomes international partners to jointly invest in, build and use the satellite networks.
In Indonesia, Lampung-1's planned applications are centered in Lampung Province on the island of Sumatra. Agriculture, forestry and fisheries accounted for 28.38 percent of the provincial economy in the third quarter of 2025. The satellite will also support marine resource management, environmental monitoring and disaster response.
Rahmat Mirzani Djausal, governor of Indonesia's Lampung Province, described the successful launch as a "historic moment" for the province.
"Cooperation with China on this satellite project is of historic and strategic significance," he said. "It marks the beginning of Lampung's transformation into a technologically advanced province."
The governor commended China's openness in sharing space technology and its commitment to long-term cooperation.
"China understands that any problems we face on one side of the world will ultimately impact the other side. Therefore, it is essential to empower regions that are left behind to make the world ultimately a better place," he said.
This cooperation also extends to people. Lampung is preparing to send over 100 young professionals to China for training in remote sensing and satellite communications, with the goal of building local capacity in satellite operation, data processing and spatial analysis.
In Uzbekistan, the applications center on cotton, grain and vegetation monitoring. Samarkand-2028 is designed to follow cotton cultivation from sowing to harvesting, while Uzbekcosmos has said hyperspectral data will also be used to produce national cotton and wheat maps.
Mukhiddin Ibragimov, deputy director of the Uzbekcosmos Agency, described the project as one of the largest international space projects in Uzbekistan's history and a milestone in its national space program.
He called the launch "a great occasion," saying it was the first time Uzbekistan had participated in an international space mission of such scale.
Ibragimov said Uzbekistan sent a technical team to China early in the project and formed a working group with Chinese specialists to develop an AI model for onboard data analysis. This model focuses on crop classification, including cotton verification, grain identification and vegetation monitoring.
The resulting data will support agriculture, water resource management, environmental protection and emergency monitoring, among other applications, he revealed.
Ibragimov said no single country can handle all space-related tasks alone.
"We believe that partnership brings value. We see that China is doing the same thing," he said, adding that Uzbekistan is exploring further satellite cooperation with China.
The projects offer a commercial example of the approach set out in China's 2021 space white paper, which called for international cooperation based on equality, mutual benefit, peaceful utilization and inclusive development.
Back in Haiyang, Oufrid said projects of this kind could give more countries an opportunity to participate in the space sector. He expressed the hope to see such cooperation happen more often and "maybe someday with Morocco as well."
。    《狗星》将于 8 月 28 日在院线上映。雷德利·斯科特在描绘那些肩负着不同程度情感压抑、并在敌对空间中不惜一切代价求生的坚毅男性(偶尔也有女性)方面,绝非新手。事实上,在他跨越近 50 年的职业生涯中,你可以随处找到这样的例子。他的电影往往能引起共鸣——无论那些语录多么荒谬,他确实赢得了称自己为“影响力人物”的权利。但他的新作《狗星》似乎让大众措手不及,这部作品距离其情感核心太远,未能在拥挤的末世生存题材中挖掘出任何新鲜的真相。《狗星》改编自彼得·海勒 2012 年的同名小说,它并不完全是预告片所展现的那种紧张刺激的动作惊悚片——关于一个男人(雅各布·艾洛蒂饰)、他的狗,以及在法律缺失、荒草丛生的反乌托邦世界中,为生存而战的高颜值人群。相反,它在很大程度上是一个节奏缓慢的生存故事,背景设定在一种奇怪病毒摧毁社会多年后,留下的这些幸存者在哀悼过去,而另一部分幸存者似乎丧失了理智,结成暴力且疯狂的团伙,以掠夺那些试图维持和平生活的人为生。当然,片中还包含了直接借鉴自 最后生还者:第一部 的标志性孤独原声吉他配乐,以及几首令人费解的乡村音乐插曲。开场前 20 分钟就像是一个冗长的支线任务,跟随艾洛迪饰演的机修工海格和他忠诚的伙伴贾斯珀去寻找物资,在丹佛废墟中穿梭寻找可口可乐和医疗用品,背景是城市无疑壮丽的广角镜头。海格驾驶着他那架黄色的小型螺旋桨飞机飞越落基山脉的森林,他的招牌动作是关闭引擎,让飞机载着副驾驶座上的贾斯珀一起滑翔,同时监听来自一个名为“大章克申”地方的无线电信号,传闻那里保留着文明的最后遗迹。这部电影非常适合 IMAX 银幕,我也确实是这样观看《狗星》的。但这些反复出现的远景感觉像是为了利用自然景观的“作弊码”来拍摄大银幕体验的借口,尽管这部电影如果放在流媒体平台上可能会表现得更好——在那里,观众不是“被困”的,不必被迫去深刻感受或思考那些基础的世界观设定问题,比如:这种神秘的致命流感到底是怎么回事?那些掠夺者是如何变得如此野蛮的?海格怎么还有充足的咖啡豆供应(他喝的是法式烘焙吗)?这部电影并非完全对之前的社会不感兴趣,但它更专注于幸存者如何应对现状,满足于在沉闷的对话中缅怀过去的生活。

二 | 当海格结束物资搜寻,回到他与乔什·布洛林饰演的强悍(偶尔也挺幽默)前海军陆战队员邦利共同生活的家园时,两人为了是否满足于现状,以及如何最好地封锁房产以应对被他们称为“收割者”的掠夺者威胁而争论不休,他们认为这些威胁需要“像处理蟑螂一样处理”。海格踏上旅程,遇到了父女搭档杰克(盖·皮尔斯饰,同样饰演了一个偶尔幽默、牢骚满腹且偏执的父亲)和西玛(玛格丽特·库里饰,表现尚可)。

三 | 当他们一起拔除树桩、坐在星空下时,西玛和海格谈论了他们死去的配偶。海格通过谈论……高尔夫来和她调情。由马克·L·史密斯撰写的《狗星》剧本是这部电影的累赘,充满了沉闷的对话,这些对话在小说中可能没问题,但从真人嘴里说出来就显得极其做作。在沉闷的第一小时后,随着主角们的对峙,剧情终于有了起色——海格、西玛和杰克在他们的森林领地,邦利守卫着他的营地——对抗收割者,我们终于品味到了预告片中承诺的那种枪林弹雨的动作戏。在一个风格化的第一人称序列中,进入完全军事行动模式的邦利戴上了夜视单目镜,将敌人变成了涂抹的霓虹绿,鲜血则像彩弹般飞溅。海格一行人需要逃离收割者的钳形攻势,这段戏以电影中第一个令人震惊的笑点结束。如你所料,这些时刻令人兴奋且导演得法,但“入侵者到底在干什么”的问题一直笼罩着这些场景。

四 | 我不需要解释每一个角色的动机——抽象感也可以很棒!——但除了“这些是被难以捉摸的符文吞噬的坏蛋”,并将他们描绘成赤膊上身、满身纹身的狂徒之外,缺乏任何深层设定,慷慨地说,这不符合当今时代的电影制作水准。所有这一切确实引向了第三幕的疯狂转变,当海格三人组到达大章克申时,剧情有了一些活力,艾莉森·珍妮穿着 50 年代的空姐制服,贡献了全片最用力(大写的演技)的表演。讨论一部名为《狗星》的电影,不能不更多地谈谈那条叫贾斯珀的狗。就像在任何有忠诚伙伴的电影中一样,我为可能发生的一切做好了心理准备,抱着最好的希望,却预料着情感上的“恐怖袭击”。但是,就像这部电影中的其他联系一样,即使是人类最好的朋友,在情感上也保持着某种冰冷的距离。尽管电影在努力处理巨大的社会损失感,但最终感觉一切都可以耸耸肩一笑而过——甚至包括关于狗的情节。好吧,至少我们还有《羊群侦探》。

Current article:http://9rxd.gamajionghuanmuniuzhuanguchu.cyou/news/pic.html

Published on:08:20:14


24小时排行