News on China's scientific and technological development.

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SanWenYu

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China is about to put CENI into service after more than 10 years of planning and construction. CENI a nationwide computer and communication network for testing technologies of the future. It currently connects 173 Chinese cities with fibre optic systems over 34000 km in total length. Future expansions will add 10000 km more for routing redundancy and robustness.

One of the major advantages of CENI is its deterministic quality of service with the guaranteed low latency at the microsecond level. It, for example, allows to precisely control automated driving vehicles over 500 km in distance.

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未来网络试验设施CENI是一张覆盖全国、辐射全球的大网，目前已覆盖全国40个核心城市节点以及沿途的133个城市节点，具备了在这173个城市节点接入业务的能力。CENI骨干光缆总长度达到3.4万公里，后续还将新建1万多公里的光缆，持续增强CENI光缆路由的丰富性和基础网络的健壮性。

CENI的一大优势是“微秒级”确定性网络服务能力。不同于传统互联网技术的“尽力而为”，确定性网络能够为用户提供低时延、低抖动、高通量、高可靠的网络传输服务。基于相同的带宽和相同的距离条件，确定性网络下的视频画面更为清晰流畅。在工业智能制造场景中，同样能“稳定发挥”，实现对500公里外的自动导向车实现精准控制，对于超远距离工业机器人控制、超远距离远程手术等应用场景具有重要的借鉴价值和示范意义。
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supercat

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Construction robots:
https://twitter.com/i/web/status/1823968245709463928

China developed mRNA virus for Epstein-Barr virus positive tumors received the Investigational New Drug approval from FDA and approved for clinical trials in China:
Such virus is correlated with more than 10 types of malignant tumors such as nasopharyngeal carcinoma, lymphoma and gastric cancer, said Song. And mRNA tumor therapeutic vaccine is one of the major breakthroughs in the field of mRNA innovative drugs and tumor immunotherapy.
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supercat

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The current popular approach used by large models is to build larger, deeper, and wider neural networks based on the law of scale, which can be referred to as a method for achieving general intelligence based on "external complexity," said Li Guoqi, a researcher from the Institute of Automation.

However, this approach faces challenges such as unsustainable consumption of computing resources and energy, as well as a lack of interpretability.

On the other hand, a human brain has about 100 billion neurons and nearly 1,000 trillion synaptic connections, with each neuron having a rich and diverse internal structure. But the power consumption of a human brain is only around 20 watts.

Inspired by the dynamics of brain neurons, the scientists, from the Institute of Automation and other research institutions such as Tsinghua University and Peking University, used an "internal complexity" approach to achieve general intelligence.
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