The 9th Belt and Road Teenager Maker Camp & Teacher Workshop to Launch Soon
Sichuan, China, June 9, 2025 -- From June 10 to 15, the 9th Belt and Road Teenager Maker Camp & Teacher Workshop will take place in Sichuan, China. Jointly hosted by the China Association for Science and Technology, the Ministry of Science and Technology of the People's Republic of China, and the People's Government of Sichuan Province, the event is featured as part of the 2nd Belt and Road Conference on Science and Technology Exchange. It aims to build a cross-border platform of science, technology, and culture for the youth.
Under the theme, 'Engineering Builds a Better Future,' the event adopts a hybrid 'online-offline' model, featuring 'one main camp + five regional sub-camps + one online platform.' The main camp in Sichuan will focus on two key areas: 'Low-Carbon City Development' and 'Smart Rail Transit, for the Future.' Participants will visit innovation hubs,including laboratories at Sichuan University and the National Experimental Teaching Demonstration Center for Transportation at Southwest Jiaotong University. They will engage in hands-on projects involving maglev trains and environmental technologies, while also experiencing intangible cultural heritage, including Shu embroidery and shadow puppetry.
The itinerary includes visits to the Dujiangyan Irrigation System and Chengdu Research Base of Giant Panda Breeding, fostering international understanding through a blend of scientific exploration and cultural immersion. Sub-camps will take place in Shaanxi, Ningxia, Xinjiang, Guangxi, Yunnan, and other regions. Meanwhile, young participants from around the world can collaborate on cross-border learning and innovation projects through the 'cloud classroom' hosted on the Belt and Road Virtual Science Center's online platform.
This year's event will also feature the launch of the 'Youth Imagination Education Initiative,' inviting science fiction works published from Belt and Road countries to promote the development of a shared sci-fi education community among teenagers across these member countries.
Contact Info:
Name: Jack Huang
Email: Send Email
Organization: China Central Television
Website: http://cctv.com/
Release ID: 89161894
In the event of any inaccuracies, problems, or queries arising from the content shared in this press release, we encourage you to notify us immediately at [email protected] (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our diligent team will be readily available to respond and take swift action within 8 hours to rectify any identified issues or assist with removal requests. Ensuring the provision of high-quality and precise information is paramount to us.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Business Wire
2 hours ago
- Business Wire
Backing the Future of Global Biotech: Reynold Lemkins' Strategy Across Borders and Stages
HONG KONG--(BUSINESS WIRE)-- Reynold Lemkins Group, an international investment firm focused on value-driven cross-border capital deployment, announced the continued advancement of its strategic focus in late-stage healthcare, AI-powered therapeutics, and Asia-centered biotech commercialization. Bridging East and West in biotech investing, Reynold Lemkins backs science-driven companies with cross-border capital and global scale strategies. Share As part of this strategy, Reynold Lemkins recently participated in the IPO of VISEN Pharmaceuticals on the Hong Kong Stock Exchange (HKEX: 02561). VISEN, a biopharmaceutical company specializing in long-acting growth hormone therapies, attracted strong institutional demand and represents the kind of regulatory-validated, commercially scalable business the firm targets. Reynold Lemkins invested alongside globally recognized healthcare investors including HongShan Capital Group (previously Sequoia China), Sofinnova, Vivo Capital, OrbiMed, and WuXi Biologics (HKEX: 2269), reinforcing its commitment to cross-border innovation and long-term capital alignment. This investment underscores Reynold Lemkins' broader strategy of supporting science-driven, late-stage companies with scalable market potential—particularly those operating at the convergence of AI, therapeutics, and Asia-Pacific commercialization. 'Our approach focuses on more than capital—we provide strategic insight and cross-border connectivity to help companies scale,' said Kris Haoran Liu, President and Chief Investment Officer at Reynold Lemkins Group. 'Biotech firms entering public markets need partners who understand both the science and the structure of global growth.' With Asia playing an increasingly pivotal role in global healthcare, Reynold Lemkins sees a growing need for capital strategies that link scientific innovation with scalable regional execution. At the same time, the firm closely tracks trends in the U.S. and other mature markets, where biotech companies are navigating longer paths to liquidity and require strategic partners with global reach. Reynold Lemkins positions itself at this intersection—bridging East and West, public and private markets—to support companies shaping the next era of patient-centered care. To learn more, visit follow us on LinkedIn, or explore our insights on Medium.
Gizmodo
2 hours ago
- Gizmodo
China Set for Critical Orbital Refueling Test With 2 U.S. Satellites Watching Closely
Two Chinese satellites are about to rendezvous in geostationary orbit, docking with one another for an experimental demonstration that could extend the longevity of spacecraft. Shijian-21 and Shijian-25 performed a series of maneuvers this past weekend, reaching a close distance of just two degrees of longitude from one another on Monday, according to space situational awareness company COMSPOC. The pair are set to meet on Wednesday for a docking procedure for China's first on-orbit refueling test in geostationary orbit (GEO), acting like a space gas station to extend the lifespan of satellites. China's satellites aren't alone, however, as two U.S. surveillance spacecraft are lurking nearby to watch it all happen, with the Pentagon fearing the technology could represent a significant milestone in China's space ambitions. The two satellites were developed by the Shanghai Academy of Spaceflight Technology, a subsidiary of the China Aerospace Science and Technology Corporation. Shijian-25 launched in January while Shijian-21 lifted off earlier in 2021. Around a year after its launch, Shijian-21 docked with a defunct Chinese satellite, the Beidou-2 G2 navigation satellite, and towed it to the graveyard orbit above GEO, SpaceNews reported at the time. Since then, Shijian-21 appeared to have run out of fuel—until it recently sprang back to life with maneuvers of its own to get closer to Shijian-25. It's likely the target of the in-orbit refueling test, in which Shijian-25 will attempt to transfer about 313 pounds (142 kilograms) of hydrazine to extend the satellite's life by eight years, according to Universe Today. The refueling test has raised concerns in the U.S. about China's growing space capabilities, prompting officials to closely monitor the situation. Two surveillance satellites, USA 270 and USA 271, part of the Geosynchronous Space Situational Awareness Program, performed maneuvers of their own to approach the vicinity of the Chinese satellites, according to COMSPOC. 'While these U.S. assets aren't directly involved, their proximity adds complexity to the local SSA picture — and raises strategic awareness concerns,' the company wrote on X. The U.S. has previously carried out in-orbit refueling tests of its own. In 2019, Northrop Grumman refueled a satellite in space to extend its lifespan by five years, becoming the first company to do so. The U.S. Space Force is also preparing its own set of orbital refueling tests, known as Tetra-5 and Tetra-6, using hardware from Northrop Grumman and other commercial suppliers. For now, the U.S. will stick to watching its space rival carry out the orbital maneuver from a safe distance.
Associated Press
4 hours ago
- Associated Press
PolyU develops novel multi-modal agent to facilitate long video understanding by AI, accelerating development of generative AI-assisted video analysis
HONG KONG SAR - Media OutReach Newswire - 10 June 2025 - While Artificial Intelligence (AI) technology is evolving rapidly, AI models still struggle with understanding long videos. A research team from The Hong Kong Polytechnic University (PolyU) has developed a novel video-language agent, VideoMind, that enables AI models to perform long video reasoning and question-answering tasks by emulating humans' way of thinking. The VideoMind framework incorporates an innovative Chain-of-Low-Rank Adaptation (LoRA) strategy to reduce the demand for computational resources and power, advancing the application of generative AI in video analysis. The findings have been submitted to the world-leading AI conferences. A research team led by Prof. Changwen Chen, Interim Dean of the PolyU Faculty of Computer and Mathematical Sciences and Chair Professor of Visual Computing, has developed a novel video-language agent VideoMind that allows AI models to perform long video reasoning and question-answering tasks by emulating humans' way of thinking. The VideoMind framework incorporates an innovative Chain-of-LoRA strategy to reduce the demand for computational resources and power, advancing the application of generative AI in video analysis. Videos, especially those longer than 15 minutes, carry information that unfolds over time, such as the sequence of events, causality, coherence and scene transitions. To understand the video content, AI models therefore need not only to identify the objects present, but also take into account how they change throughout the video. As visuals in videos occupy a large number of tokens, video understanding requires vast amounts of computing capacity and memory, making it difficult for AI models to process long videos. Prof. Changwen CHEN, Interim Dean of the PolyU Faculty of Computer and Mathematical Sciences and Chair Professor of Visual Computing, and his team have achieved a breakthrough in research on long video reasoning by AI. In designing VideoMind, they made reference to a human-like process of video understanding, and introduced a role-based workflow. The four roles included in the framework are: the Planner, to coordinate all other roles for each query; the Grounder, to localise and retrieve relevant moments; the Verifier, to validate the information accuracy of the retrieved moments and select the most reliable one; and the Answerer, to generate the query-aware answer. This progressive approach to video understanding helps address the challenge of temporal-grounded reasoning that most AI models face. Another core innovation of the VideoMind framework lies in its adoption of a Chain-of-LoRA strategy. LoRA is a finetuning technique emerged in recent years. It adapts AI models for specific uses without performing full-parameter retraining. The innovative chain-of-LoRA strategy pioneered by the team involves applying four lightweight LoRA adapters in a unified model, each of which is designed for calling a specific role. With this strategy, the model can dynamically activate role-specific LoRA adapters during inference via self-calling to seamlessly switch among these roles, eliminating the need and cost of deploying multiple models while enhancing the efficiency and flexibility of the single model. VideoMind is open source on GitHub and Huggingface. Details of the experiments conducted to evaluate its effectiveness in temporal-grounded video understanding across 14 diverse benchmarks are also available. Comparing VideoMind with some state-of-the-art AI models, including GPT-4o and Gemini 1.5 Pro, the researchers found that the grounding accuracy of VideoMind outperformed all competitors in challenging tasks involving videos with an average duration of 27 minutes. Notably, the team included two versions of VideoMind in the experiments: one with a smaller, 2 billion (2B) parameter model, and another with a bigger, 7 billion (7B) parameter model. The results showed that, even at the 2B size, VideoMind still yielded performance comparable with many of the other 7B size models. Prof. Chen said, 'Humans switch among different thinking modes when understanding videos: breaking down tasks, identifying relevant moments, revisiting these to confirm details and synthesising their observations into coherent answers. The process is very efficient with the human brain using only about 25 watts of power, which is about a million times lower than that of a supercomputer with equivalent computing power. Inspired by this, we designed the role-based workflow that allows AI to understand videos like human, while leveraging the chain-of-LoRA strategy to minimise the need for computing power and memory in this process.' AI is at the core of global technological development. The advancement of AI models is however constrained by insufficient computing power and excessive power consumption. Built upon a unified, open-source model Qwen2-VL and augmented with additional optimisation tools, the VideoMind framework has lowered the technological cost and the threshold for deployment, offering a feasible solution to the bottleneck of reducing power consumption in AI models. Prof. Chen added, 'VideoMind not only overcomes the performance limitations of AI models in video processing, but also serves as a modular, scalable and interpretable multimodal reasoning framework. We envision that it will expand the application of generative AI to various areas, such as intelligent surveillance, sports and entertainment video analysis, video search engines and more.' Hashtag: #PolyU #AI #LLMs #VideoAnalysis #IntelligentSurveillance #VideoSearch The issuer is solely responsible for the content of this announcement.
