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A Chinese-led team from Nanjing University and the National University of Singapore developed 光语芯, an ultra-low-power intelligent vision sensor chip that directly converts light into tokens. The tokens can be fed into an encoder for image recognition.
Google reportedly bid $10 million for Spirit Airlines’ internal enterprise data, including approximately 100 million emails and 500 million Microsoft Teams messages, in a bankruptcy asset auction. The deal signals the emergence of a market for acquiring sanitized corporate communications and work records to train AI systems and enterprise agents.
Jingxin Microelectronics has successfully powered on its domestically developed RapidIO 3.2 switch chip SR1820 and RapidIO 3.2-to-PCIe 4.0 bridge chip ST0420. The chips completed all primary functional use cases in under one hour after returning from fabrication.
Chinese AI companies are optimising software to handle growing inference demand while access to high-end Nvidia processors remains limited. Domestic chips can support some inference workloads, but complex coding tasks still depend partly on scarce Nvidia capacity.
SMIC reported its first $3 billion quarter, with revenue rising 36.1% year over year and net profit nearly tripling to $479.2 million. The Chinese foundry is also raising wafer prices as US sanctions strengthen demand from China’s captive AI market.
Meitu Imaging & Vision Research Institute (MT Lab) proposes a new scene text editing approach for languages ranging from Chinese to low-resource languages. The research is presented as an ICML 2026 contribution and focuses on making text changes appear seamless within images.
Moonshot and ZAI are reportedly approaching the performance of models from OpenAI and Anthropic. The models can reportedly build passable websites at a cost 75% lower than Claude, highlighting potential advantages in cost-sensitive coding workflows.
New releases from Chinese competitors are narrowing the gap with Silicon Valley’s AI products, including ChatGPT and Gemini. Lower pricing is helping these services gain market share, alongside offerings such as DeepSeek and Kimi agents.
Chinese technology companies are building large AI data center complexes in rural provinces to use surplus land and energy. Huawei and Tencent are reportedly developing infrastructure in Guizhou under China's “Eastern Data, Western Computing” strategy.
The article reports that Anthropic and Amazon have reportedly purchased large volumes of physical books, scanned them, and destroyed the originals to reduce copyright risk in AI training. It argues that this strategy is tied to differences in US and Chinese copyright law, while also raising concerns about the irreversible loss of cultural artifacts.