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first_img Thirteen IPOs on the Sci-Tech Innovation Board were terminated this year, with semiconductor companies accounting for nearly 40%

The Science and Technology Innovation Board Daily cited Wind data stating that by 2026, 76 IPOs had terminated their review, with 13 from the Science and Technology Innovation Board, accounting for 17.1%. In 2025, a total of 50 IPOs were terminated, with only 3 from the Science and Technology Innovation Board, accounting for 6%. The total fundraising scale of terminated IPOs on the Science and Technology Innovation Board in 2026 was 18.248 billion yuan, nearly 5 times the 3.181 billion yuan in the same period of 2025. After entering the fourth quarter, Saikexis and Zhongke Innovation successively terminated their reviews.Among the 13 terminated projects on the Science and Technology Innovation Board, 5 were related to semiconductor and integrated circuit companies, including Wuhan Xinxin, Shanghai Xinyi, Beijing Tongmei, Taosheng Electronics, and Yadian Technology, accounting for approximately 38.5%. Beijing Tongmei was the only project that terminated during the registration phase, accepted on January 10, 2022, submitted for registration on August 1 of the same year, and terminated registration on July 2, 2026, lasting over 4 years. Wuhan Xinxin was accepted at the end of September 2024 and terminated in May 2026, queuing for nearly 600 days, intending to raise 4.8 billion yuan, accounting for about 26.3% of the total intended fundraising of the 13 terminated projects.The duration from acceptance to termination varied significantly. Huihe Medical was accepted on June 30, 2026, and terminated on September 24, taking 86 days, making it the first IPO to withdraw after being selected for on-site inspection this year. Saikexis voluntarily withdrew six months after acceptance, marking the third IPO failure in six years. Huandong Technology was accepted on November 25, 2024, and terminated on September 21, 2026, lasting about 22 months, being the first robot company to terminate an IPO this year, mainly engaged in robotic joint reducers, sponsored by GF Securities. According to the criteria of semiconductors, software equipment, hardware services, etc., there have been 37 IPO listing applications that have become invalid in the Hong Kong stock market this year, compared to 11 in the same period last year.

first_img BitGo established an innovation department, BitGo Labs, initially focusing on the integration of AI and cryptocurrency

BitGo announced the establishment of a new research and innovation department, BitGo Labs, aimed at designing, launching, and validating the next breakthrough applications in the digital asset space. BitGo stated that this department focuses on use cases that can only be achieved through cryptographic technology, such as interest rates and yields that traditional systems cannot provide, and utilizes AI to complete builds in months rather than years.Initially, BitGo Labs will focus on the intersection of AI and cryptocurrency. BitGo pointed out that the AI economy still requires cryptographic financial infrastructure to handle micropayments, achieve instant settlements, and ensure asset security. At the launch of the department, several related projects were introduced, including the consumer application Gokubu, which uses AI-driven card optimization for user spending and is now live, allowing users to be assigned personalized AI financial assistants to help them obtain better rewards and transaction value.BitGo stated that in addition to the initial projects, BitGo Labs will also release research reports, protocol prototypes, and reference implementations, and collaborate with developers, scholars, and institutions in the cryptocurrency and AI communities. BitGo CEO Mike Belshe previously stated in an interview that AI agents are likely to use stablecoins as their native currency, and human control over AI will last longer than some predict. This statement responded to Maelstrom Chief Investment Officer Arthur Hayes' view that digital currencies like stablecoins cannot serve as the native currency for AI agents because they cannot be directly converted into computing power.
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