Amazon's hardware chief: The company will accelerate the development of its own edge AI chips to prepare for device chip upgrades.
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During his research visit to Guangzhou on the development of the artificial intelligence industry, Meng Fanli emphasized: Accelerate high-level applications across all regions, all times, and all industries to fully promote the high-quality development of the artificial intelligence industry.
According to Mars Finance, Meng Fanli, Deputy Secretary of the Guangdong Provincial Party Committee and Governor of Guangdong Province, visited several artificial intelligence (AI) companies in Guangzhou. He emphasized the need to thoroughly study and implement the spirit of General Secretary Xi Jinping's important speeches and instructions on Guangdong and Guangzhou, and to earnestly implement the deployments of the Guangdong Symposium on Accelerating the Development of the New Mechatronics Industry and the Guangdong AI Application Matching Conference. He stressed the importance of using more powerful and effective "policies + work" to fully promote the high-quality development of the AI industry and its high-level application across all regions, industries, and sectors, thereby accelerating the cultivation and development of new productive forces. Meng Fanli pointed out that global AI is currently experiencing explosive growth, and Guangdong possesses a strong industrial foundation, rich application scenarios, and a vibrant innovation ecosystem, making its AI industry development promising and highly valuable. He stressed the need to firmly grasp AI as a crucial driving force for the new round of technological revolution and industrial transformation, vigorously promote its rapid development and application, better empower various industries, bring it into every household, and drive high-quality development. We must fully leverage the advantages of mechatronics and hardware-software synergy, strengthen research and development of key core technologies and the transformation of research results in artificial intelligence, continuously attract investment and talent from across the country and globally, accelerate the strengthening of the entire artificial intelligence industry chain including chips, computing power, algorithms, data, and applications, cultivate a number of large-scale models in vertical fields and small-scale models for specific scenarios, develop and launch more industrial intelligent agents and life intelligent agents, and create a group of leading enterprises with outstanding technical strength, industry influence, and independent ecosystem construction capabilities. We must deepen and expand "AI+", adhering to full coverage, all-time response, and full industry penetration, comprehensively reviewing and fully developing all possible application scenarios in various fields such as intelligent manufacturing, smart parks, smart cities, smart healthcare, and smart transportation, especially accelerating the digital transformation of industrial enterprises, promoting the coordinated development of manufacturing and service industries, and better empowering the construction of a modern industrial system. We must create a first-class industrial ecosystem, comprehensively optimize policy supply, strengthen the guarantee of various factors such as finance, innovation, and talent, improve the artificial intelligence governance system, and promote the integration of large, medium, and small enterprises, upstream and downstream matching, and front-end and back-end closed loops in artificial intelligence development, creating a first-class environment and providing optimal services for high-quality industrial development. (Southern Plus)
Anthropic chief urges slowdown in AI development to safer pace
OpenAI CEO Sam Altman agrees with safety concerns regarding AI development, says no initial share sale this year.
JD Cloud establishes artificial intelligence technology research and development company
According to Mars Finance, JD.com (Suqian) Artificial Intelligence Technology R&D Co., Ltd. has been established, with a business scope including: retail of computer software and hardware and auxiliary equipment; information system integration services; data processing and storage support services, etc. Qichacha's equity penetration data shows that the company is wholly owned by JD Cloud Computing Co., Ltd. (Cailian Press)
No, Ledger Wasn’t Hacked: Vulnerable Ethereum App Was Patched Before Exploit, Company Says
OneKey demonstrated how an outdated Ethereum app could sign a transaction different from the one shown on a Ledger device, but the wallet maker says the vulnerability had already been fixed.
XRP Ledger v3.2.0 launched: Node upgrade rate only 43%, and voting on the accompanying security amendment is lagging.
PANews reported on July 8th that, according to CoinDesk, the new version of XRP Ledger server software, v3.2.0, has been launched, aiming to reduce operating costs, improve stability, and enhance its appeal to institutional users. Currently, of the approximately 833 active nodes, 43% are running the new version, while 51% are still using the older v3.1.3. However, about 89% of the 35 validators with default UNL have upgraded, reaching the 80% threshold required for activation. The accompanying security amendment, fixCleanup3_2_0, is still under separate voting. It covers fixes and improvements to single-asset vaults, permissioned DEXs, multi-purpose tokens, and lending protocols, and its current support rate is far lower than the software adoption rate. Ripple has voted in favor of the amendment, and validators who do not upgrade before the amendment's activation may face the risk of having their Ledger connection severed.
Hygon plans to enter the edge AI market and accelerate the construction of a full-stack autonomous computing system.
According to Mars Finance, Hygon Information will showcase its full range of cloud-edge-device computing power scenarios at the Photosynthesis Organization 2026 Intelligent Computing Application Conference. This marks the first comprehensive presentation of Hygon's edge computing power layout for industrial sites and industry applications, based on its dual-core CPU and DCU platform. It is understood that compared to cloud computing power, edge scenarios place greater emphasis on real-time response, local processing, security and reliability, and software and hardware ecosystem synergy, demanding higher integration requirements for chip capabilities and system solutions.