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Monday

  1. Story2 reports · 1 facts

    The Ministry of Commerce and Nine Other Departments Propose Accelerating the Advancement of Commerce Through Science and Technology

    The Ministry of Commerce and Nine Other Departments Issue Opinions on Accelerating the Advancement of Commerce Through Science and Technology. According to a report on October 20, 2026, the Opinions were issued on October 13, 2026 (Shang Jian Han [2026] No. 551), and for the first time put forward 18 measures under the theme of "advancing commerce through science and technology," covering four areas: empowering the upgrading of commodity consumption, expanding service consumption, unblocking the commerce and circulation chain, and shaping future business scenarios. They also propose developing new business forms such as flexible manufacturing and C2M on-demand production, and cultivating commercial agents and intelligent shopping guides, while strengthening safeguards in six areas: standards systems, digital and intelligent infrastructure, safety supervision, R&D and commercialization, talent cultivation, and fiscal and financial support. A report on October 21 further stated that the Opinions propose raising the level of application in the commerce field of new technologies such as artificial intelligence, big data, the Internet of Things, cloud computing, blockchain, digital twins, and embodied intelligence; promoting the intelligent, green, and integrated development of the entire commerce chain; explicitly cultivating commercial agents such as intelligent shopping guides, intelligent operations, and intelligent logistics; promoting the implementation of embodied intelligence in scenarios such as home services and commercial logistics; and popularizing the series of national standards titled "Intelligent Grading of Artificial Intelligence Terminals." There are currently no facts of subsequent developments.

    The Ministry of Commerce and Nine Other Departments Issue Opinions on Accelerating the Advancement of Commerce Through Science and Technology. According to a report on October 20, 2026, the Opinions were issued on October 13, 2026 (Shang Jian Han [2026] No. 551), and for the first time put forward 18 measures under the theme of "advancing commerce through science and technology," covering four areas: empowering the upgrading of commodity consumption, expanding service consumption, unblocking the

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Wednesday

  1. Story2 reports · 1 facts

    Alibaba DAMO Academy releases automotive-grade CPU E908A at the RISC-V China Summit

    English text is being prepared.

    At the RISC-V China Summit, Alibaba DAMO Academy released the automotive-grade CPU E908A. According to Jiwei.com, this is the first RISC-V CPU to simultaneously achieve ASIL-B and ASIL-D; the summit also unveiled the automotive roadmap, with the next-generation C950A targeting 5 times the performance of existing RISC-V automotive products, planned for launch by the end of next year. At the event, DAMO Academy chief scientist Meng Jianyi presented progress on the XuanTie C950: the in-house XT-LIN

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  2. Story2 reports · 1 facts

    SenseTime Open-Sources SenseNova-RoboRSI Framework and 27B Embodied Model

    SenseTime has open-sourced the SenseNova-RoboRSI framework and a 27B embodied model, while also releasing an empirical study on embodied intelligence for GPT-6-Astra. The study covers 12 simulation benchmarks and 8 real robot platforms. Under a unified protocol (ICL plus up to 10x interaction budget), GPT-6-Astra achieved SOTA on all 12 benchmarks, with RoboDojo's success rate rising from 27.6% at 1x budget to 81.9% at 10x, and DexJoCo reaching 87.3%, compared with the previous SOTA of 40.3%. The study also notes that simple tasks such as putting a pen into a pen holder cost about $55 in inference, and that real robots overheat and wait too long; the conclusion is that GPT-6-Astra has essentially crossed the threshold of embodied capability, but practical-grade embodied intelligence has not yet arrived. The open-source framework packages each benchmark as an independent Docker image and provides environment interaction and scoring through a unified HTTP API; the 27B model raises the success rate on RoboCasa365 from 26.0% to 46.5%, reduces task token overhead by 73%, and costs about 1/50 of GPT-6-Astra per completed task.

    SenseTime has open-sourced the SenseNova-RoboRSI framework and a 27B embodied model, while also releasing an empirical study on embodied intelligence for GPT-6-Astra. The study covers 12 simulation benchmarks and 8 real robot platforms. Under a unified protocol (ICL plus up to 10x interaction budget), GPT-6-Astra achieved SOTA on all 12 benchmarks, with RoboDojo's success rate rising from 27.6% at 1x budget to 81.9% at 10x, and DexJoCo reaching 87.3%, compared with the previous SOTA of 40.3%. Th

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