News on China's scientific and technological development.

Andy1974 said:

Again, you are talking nonsense, I am not talking proof of work, there are many consensus mechanism which any fool who has been studying it since day 0 would know.

Please sit this out and stop derailing legitimate interactions with your bullshit.

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9dashline said:

You have no rebuttal to the fact and to the truth that at its core bitcoin is just an online globally sync'd excel spreadsheet of transactions, nothing more and no less. In essence its a distributed peer to peer digital general ledger. That is exactly what bitcoin actually IS... the code and protocol is open source for all to verify and examine

Bitcoin is just a database table of transactions, by definition it cannot create value, is not intrinsic value in itself, and is only an accounting system with accounting units. When bitcoin first started a single coin sold for a US penny. The only thing that has changed is that people are playing tulip hot potateos with the coin themselves, speculating by pumping up and buying and selling these accounting units of a made up accounting system.

Unlike mining for gold, uranium, coal, bitcoin is not a source of energy... accounting tables in an accounting system can never be an entropy thermodynamic source of energy, therefore bitcoin is negative infinity EROEI. It is a financial and energy Black Hole...

Furthermore, anyone can start their own altcoin, using the exact same blockchain protocol, there can be infinite bitcoin copycats... so just like the NFT scam in which the owner of the NFT cannot prevent others from copying the jpeg etc and making a zillion clones, Bitcoin is not special and only had perceived transitory speculative value because of the ephermeral and temporary first movers advantage but in the long run bitcoin will go to zero. Bitcoin was but the first tab in the excel workbook of cryptocoins, but there is no limit to the number of spreadsheets that can be tabbed in the workbook so the whole "mining equals artificial scarity" is debunked...

Federated blockchain has its uses for example a meta-blockchain that logs transactions between other blockchains and other such interblockchain interactions, just like the way email is federated and I can use Huawei petalmail to write to someone who only uses gmail. Your argument is flawed in that just because I said AOL mail was going to fail that somehow this is miscontrued as to mean I dont know the value of email itself.

Calling me Indian and single worded replies of "bullshit" is not a rebuttal.

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9dashline said:

Calling me Indian and single worded replies of "bullshit" is not a rebuttal.

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Strangelove said:

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China begins mass production of its Hualong-1 nuclear power units

China's self-developed third-generation nuclear power unit Hualong-1 has entered the quantity production phase after the unit's first commercial operation in January last year.

Two new Hualong-1 units are under construction at the Changjiang Nuclear Power Plant in China's southern island province of Hainan where some 30 percent of energy is created by nuclear power.

A night view a Hualong-1 construction site at Changjiang Nuclear Power Plant. /Photo provided by Hainan Nuclear Power

More than 9,000 workers and 1,000 management staff are working at the construction site, according to the constructors.
"We hope the new units at the Changjiang power plant can get connected to the grid as soon as possible," said Zhang Daqian, a senior engineer at the China Nuclear Industry 22nd Construction Company.

Constructors at Changjiang Nuclear Power Plant. /CGTN

The construction project in Changjiang is proceeding smoothly, using the experience gained at the Hualong-1 demonstration project, and the big dome for one of the two power units will be installed next year, as per the schedule.

The third generation of Hualong-1 technology adopts multiple new safety measures to prevent accidents. And for the new units, Chinese engineers have already adopted 86 optimization schemes to improve demonstration projects.

"For example, we will use thermal plasma technology to incinerate waste, like protective equipment. The volume of the waste can be shrunk by a factor of over 50," said Chen Jianxin, the chief engineer at Hainan Nuclear Power.

"If there are 200 tonnes of such waste, we could save more than ten million yuan," he said.

Chen Jianxin, chief engineer at Hainan Nuclear Power, talks with CGTN.

The chief engineer says the power unit will focus more on passive safety measures and make them simpler to use.
Project managers say the safe and comprehensive use of green energy sources, like nuclear, wind and solar power, will help achieve carbon neutrality goals and better protect the environment.

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China is building world's first commercial land-based SMR​

Andy1974 said:

How NFTs are used in Chinas Judicial system..

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caudaceus said:

"China's emphasizing blockchains on its judicial system rather than ape jpegs underscore its failure to adopt vibrant and dynamic market economies"

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RingMo: A Remote Sensing Foundation Model with Masked Image Modeling​

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Abstract:
Deep learning approaches have contributed to the rapid development of Remote Sensing (RS) image interpretation. The most widely used training paradigm is to utilize ImageNet pre-trained models to process RS data for specified tasks. However, there are issues such as domain gap between natural and RS scenes, and the poor generalization capacity of RS models. It makes sense to develop a foundation model with general RS feature representation. Since a large amount of unlabeled data is available, the self-supervised method has more development significance than the fully supervised method in remote sensing. However, most of the current self-supervised methods use contrastive learning, whose performance is sensitive to data augmentation, additional information, and selection of positive and negative pairs. In this paper, we leverage the benefits of generative self-supervised learning for RS images, and propose a Remote sensing foundation Model framework called RingMo, which consists of two parts. First, a large-scale dataset is constructed by collecting two million RS images from satellite and aerial platforms, covering multiple scenes and objects around the world. Second, we propose an RS foundation model training method designed for dense and small objects in complicated RS scenes. We show that the foundation model trained on our dataset with RingMo method achieves state-of-the-art on eight datasets across four downstream tasks, demonstrating the effectiveness of the proposed framework. Through in-depth exploration, we believe it is time for RS researchers to embrace generative self-supervised learning and leverage its general representation capabilities to speed up the development of RS applications.

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首个面向跨模态遥感数据的生成式预训练大模型发布​

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以深度学习为代表的人工智能技术已被应用于多种遥感图像解译任务中。遥感数据幅宽大、场景内容复杂，一幅标准景图像往往就可达数十亿像素，覆盖上万平方公里，与自然场景数据存在较大差异。大多数现有的深度神经网络模型是利用自然场景图像预训练的权重来进行初始化，在遥感数据解译任务上的性能和普适性有待进一步提升。

中国科学院空天信息创新研究院（以下简称“空天院”）牵头研制首个面向跨模态遥感数据的生成式预训练大模型“空天·灵眸”（RingMo，Remote Sensing Foundation Model），旨在构建一个通用的多模态多任务模型，为遥感领域多行业应用提供一套通用便捷、性能优良的解决方案。

该团队深入结合光学、SAR等跨模态遥感数据的成像机理和目标特性，在模型设计、模型训练、推理优化等方向开展技术创新，并在场景分类、检测定位、细粒度识别、要素提取及变化检测等典型下游任务中进行了验证。该模型在8个国际标准数据集上达到了同类领先水平，有效填补了跨模态生成式预训练模型在遥感专业领域的空白。同时，空天院与华为公司深度技术合作，基于昇腾AI基础软硬件平台，尤其是昇思MindSpore AI框架，将联合打造灵活易用的自监督预训练通用套件，可高效支撑大模型并行训练及下游任务的开发。

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目前，“空天·灵眸”模型的相关成果已在遥感领域顶刊IEEE Transactions on Geoscience and Remote Sensing公开发表。同时，该模型在国防安全、三维重建等多个领域已开展试用，在目标检测识别、地物要素分类等方面的实测结果较通用视觉模型有显著提升。后续拟进一步推广至国土资源、交通、水利等更多行业，为天临空地一体化应用提供一套解决方案。

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SanWenYu said:

CAS released RingMo, "a remote sensing foundation model with masked image modeling". CAS worked with Huawei to develop this "generative self-supervised" machine learning framework.

Paper published in English:

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News release in Chinese:

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