In the key action paragraph, all I see is "could" and "should".
They should add another keyword: "Cope"
News on China's scientific and technological development.
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They should add another keyword: "Cope"
AssassinsMace
Lieutenant General
China stole the Apple campus and made up some stupid front hiding it behind a particle accelerator.
I read couple of years ago about a Chinese plan for a huge particle collider bigger than CERN's hadron Collider. What happened to that plan? Its called the Circular Electron–Positron Collider (CEPC)
I also remember this and i also remember the west freaking out how this should be a global operation and not a one country project
..Its kind of like that big ass radio telescope China made first it wasn't needed and now that the US neglected maintaining their own im sure the scientific community is glad China made one.
will strive to build 10 industry-leading brands and 100 demonstration robot application scenarios and achieve a robot-related industry scale of CNY100 billion (USD14.6 billion) by 2025, the city said in the latest intelligent robot guideline yesterday..
On March 14, Chinese artificial intelligence pioneer SenseTime unveiled what it called the ““, amid the latest AI wave triggered by ChatGPT. Named Intern 2.5, the model is the largest and most accurate on ImageNet among the world’s open-source models, and it is the only model listed in the object detection benchmark dataset COCO that exceeds 65.0 mAP, SenseTime said.
Intern 2.5’s cross-modal task processing capability can provide efficient and accurate perception and understanding support for automated driving and robots. The model was jointly developed by SenseTime, Shanghai Artificial Intelligence Laboratory, Tsinghua University, the Chinese University of Hong Kong and Shanghai Jiao Tong University.
From the date of its release, Intern 2.5 has been made available in OpenGVLab, a general visual open-source platform that SenseTime participates in.
Nowadays, as many applications undergo rapid growth, traditional computer vision has been unable to deal with several specific tasks needed in the real world. Intern 2.5, a higher-level visual system with universal scene perception and complex problem-solving capabilities, defines tasks through text, making it possible to flexibly define the task requirements of different scenarios. It can give instructions or answers based on given visual images and prompts for tasks, thereby possessing advanced perception and complex problem-solving abilities in general scenarios such as image description, visual question-answering, visual reasoning and text recognition.
For example, in automated driving, it can greatly improve perception and understanding abilities, accurately assist in judging the status of traffic lights, road signs and other information, and provide effective information for a vehicle’s decision-making and overall planning.
It also has the function of AI-generated content. According to requirements put forward by users, a diffusion model generation algorithm can be used to generate high-quality and realistic images.
The outstanding performance of this type of technology in the cross-modal field of graphics and text comes from the effective integration of vision, speech and multitasking modeling capabilities.
On ImageNet, a large visual database designed for use in visual object recognition software research, the model achieves 90.1% accuracy based on public data only. This is the only model with an accuracy rate exceeding 90.0% except for Google and Microsoft’s.
This is years out-of-date and they're likely behind schedule due to covid. My guess is 2033 completion date.
By scientists from the Sun Yat-Sen University.
Paper:
News release:
中山大学材料科学与工程学院付俊教授课题组和福州大学江献财副教授课题组合作开发了一种能够满足不同气候条件需要的热致变色水凝胶智能窗户，通过连续调节水凝胶的相转变温度，实现了不同纬度地区、不同季节的室内温度调节。聚N-异丙基丙烯酰胺（PNIPAM）是著名的LCST（低临界共溶温度）型聚合物。当温度升至LCST（约32.5℃）以上时，PNIPAM水凝胶会由透明态转变为不透明态。利用这一特性，研究团队通过引入亲水性单体N, N二甲基丙烯酰胺（DMAA），与NIPAM共聚（图1a），在32.5℃-43.5℃范围内实现了对LCST的连续调控（图1b）。当温度低于其LCST时，P(NIPAM-DMAA)共聚物水凝胶透明度极高，全波段的光透过率大于91.30%（图1c），在LCST以上温度则不透明（图1d）。
利用一系列P(PNIPAM-DMAA)水凝胶制作智能窗户，实现了环境温度响应的阳光调节：当环境温度高于LCST时，智能窗户变得不透明，在全波段范围内阻隔太阳光照射（图2a），有效地减弱了可见光和红外热辐射，避免室内温度过高，调节能力可达88.84%，实现了调节能力的突破（图2b）。
研究团队通过多个城市、不同季节的室内模拟测试，证实了该智能窗户具有室内温度调节能力和建筑节能效果。选取北京、大连、西安、上海、福州和广州作为代表性的试点城市，跨越北纬23°N 到40°N，覆盖了亚热带、温带、沿海、内陆等不同地理和气候特点，从2021年12月到2022年8月，进行了为期九个月的室内模拟测试（图3）。在北方，模拟冬季供暖条件，利用智能窗户的热致变色效应，有效地降低了室内热量的辐射逃逸，表现出优异的建筑节能效果（4.04-4.30 kJ m-3）。在春季，广州的智能窗户可将室内温度降低4.0℃左右，并节能5.14 kJ m-3。在夏季，随着气温进一步升高，智能窗户在所有城市均展现优异的温度调节能力（最高可达7.3℃），其建筑节能效率可达9.51 kJ m-3。
大多数智能窗户在工作状态下都是不透明状态，损失了可视化功能。该团队提出一种平衡可视功能和太阳光调节能力的新策略，借助3D打印技术构筑了网格状或图案化智能窗户，首次实现了具有可视功能和太阳光调节能力的水凝胶智能窗户（图4）。该策略可应用于开发具有文化特色的智能窗户，将窗花、中国结和文创作品等文化元素与智能窗户集成，具有广泛的应用前景。
Paper:
Printable Thermochromic Hydrogel-Based Smart Window for All-Weather Building Temperature Regulation in Diverse Climates
Abstract
Thermochromic smart windows are widely developed to modulate building energy exchange to save building energy consumption. However, most smart windows have fixed working temperature, moderate energy saving efficiency, and are not suitable for diverse (cold and hot) climates. Here we report smart windows with strong temperature modulation over a broad range by hydrogels with adjustable transition temperatures for all-weather building temperature regulation in different climates. Thermochromic poly(N-isopropylacrylmide-co-N, N-dimethylacrylamide) hydrogels, with lower critical transition temperature ranging from 32.5 to 43.5°C, are developed for smart windows with solar modulation up to 88.84% and intrinsic transmittance up to 91.30% over full spectrum without energy input. Simulated indoor investigations are performed in different cities from 23 °N to 39 °N from winter to summer. The results indicate that the smart windows have a strong solar modulation in summer to reduce indoor temperature up to 7.3°C and efficient heat conservation in winter to save energy up to 4.30 J m−3, in comparison to glass windows. Smart windows with grid patterns and Chinese kirigami are fabricated by using 3D printing of the hydrogels to achieve both solar modulation and light incidence. The strategy offers an innovative path for thermochromic smart windows for low carbon economy.News release:
温敏水凝胶智能窗户研究取得重要进展
中大新闻网讯（通讯员付俊）建筑能耗约占全球能耗的40%，而窗户是建筑内外能量交换的主要通道。利用智能窗户调节建筑能量交换，是实现建筑节能的重要手段。国内外科学家们已经开发了各种智能窗户，如：热致变色型水凝胶智能窗户（Joule, 2019, 3, 290-302），电致变色型钙钛矿智能窗户（Nat. Commun. 2021, 12, 3360），辐射制冷型二氧化钒智能窗户（Science, 2021, 374, 1501-1504）等。研究和开发“全气候”型智能窗户，既能在夏季阻隔过多的阳光直射，又能在冬季降低室内热能的辐射损失，“冬暖夏凉”，不仅有利于显著改善建筑内的舒适性，更有利于节约能源，促进低碳经济发展。然而，大多数智能窗户仍受制于需要供能、工作温度适用范围窄、光调节能力不足等问题。因此，研究可自发调节并适应复杂多变气候的智能窗户具有重要的科学意义和应用价值。中山大学材料科学与工程学院付俊教授课题组和福州大学江献财副教授课题组合作开发了一种能够满足不同气候条件需要的热致变色水凝胶智能窗户，通过连续调节水凝胶的相转变温度，实现了不同纬度地区、不同季节的室内温度调节。聚N-异丙基丙烯酰胺（PNIPAM）是著名的LCST（低临界共溶温度）型聚合物。当温度升至LCST（约32.5℃）以上时，PNIPAM水凝胶会由透明态转变为不透明态。利用这一特性，研究团队通过引入亲水性单体N, N二甲基丙烯酰胺（DMAA），与NIPAM共聚（图1a），在32.5℃-43.5℃范围内实现了对LCST的连续调控（图1b）。当温度低于其LCST时，P(NIPAM-DMAA)共聚物水凝胶透明度极高，全波段的光透过率大于91.30%（图1c），在LCST以上温度则不透明（图1d）。
利用一系列P(PNIPAM-DMAA)水凝胶制作智能窗户，实现了环境温度响应的阳光调节：当环境温度高于LCST时，智能窗户变得不透明，在全波段范围内阻隔太阳光照射（图2a），有效地减弱了可见光和红外热辐射，避免室内温度过高，调节能力可达88.84%，实现了调节能力的突破（图2b）。
研究团队通过多个城市、不同季节的室内模拟测试，证实了该智能窗户具有室内温度调节能力和建筑节能效果。选取北京、大连、西安、上海、福州和广州作为代表性的试点城市，跨越北纬23°N 到40°N，覆盖了亚热带、温带、沿海、内陆等不同地理和气候特点，从2021年12月到2022年8月，进行了为期九个月的室内模拟测试（图3）。在北方，模拟冬季供暖条件，利用智能窗户的热致变色效应，有效地降低了室内热量的辐射逃逸，表现出优异的建筑节能效果（4.04-4.30 kJ m-3）。在春季，广州的智能窗户可将室内温度降低4.0℃左右，并节能5.14 kJ m-3。在夏季，随着气温进一步升高，智能窗户在所有城市均展现优异的温度调节能力（最高可达7.3℃），其建筑节能效率可达9.51 kJ m-3。
大多数智能窗户在工作状态下都是不透明状态，损失了可视化功能。该团队提出一种平衡可视功能和太阳光调节能力的新策略，借助3D打印技术构筑了网格状或图案化智能窗户，首次实现了具有可视功能和太阳光调节能力的水凝胶智能窗户（图4）。该策略可应用于开发具有文化特色的智能窗户，将窗花、中国结和文创作品等文化元素与智能窗户集成，具有广泛的应用前景。