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The Beijing Artificial Intelligence Industry Investment Fund recently announced an additional investment of 200 million RMB in Beijing Zhipu AI Technology Co., Ltd. (Zhipu). According to the fund, Zhipu is the first AI large language model company invested in since the fund's establishment and is one of the fastest-growing companies in the field. Zhipu has accumulated deep expertise in model development across text, reasoning, speech, image, video, and code, and boasts a robust commercialization strategy, having established a developer community and enterprise user base exceeding one million. This investment aims to further support Zhipu's growth and development.

On April 10, 2025, the Beijing Cyberspace Administration Office announced that 23 new generative AI services have been added to the registry, bringing the total number of registered generative AI services in Beijing to 128. The "Interim Measures for the Management of Generative Artificial Intelligence Services" provides a strong guarantee for the standardized development of these services. To enhance transparency, generative AI applications or functions that are already online must clearly indicate, in a prominent location or on the product details page, the registered generative AI services used, specifying the model name.

Beijing has registered 34 new generative AI services, with notable entries such as Xiaomi's AI search and Monica.

According to CCTV News, the Beijing Municipal Commission of Education announced that it will focus on developing 11 AI application scenarios in primary and secondary schools this year and launch the cultivation of 7 'Jingwa' AI assistants. The aim is to empower the five-in-one integrated education system with AI technology, promoting personalized and diversified student development. These application scenarios cover AI teaching assistants for intelligent lesson preparation, intelligent classroom quality monitoring, and smart homework/question setting; AI learning assistants for intelligent error analysis and resource recommendation, autonomous writing correction, and foreign language learning assistance; AI parenting assistants for smart sports and mental health assistance; and AI assessment assistants for...

A look into the life of a woman in a county town who spends significantly more than she earns, highlighting the complexities of consumption and social status outside of major metropolitan areas.

On March 6th, the Beijing Academy of Artificial Intelligence (BAAI) announced the open-sourcing of its multimodal vector model, BGE-VL. This achievement marks a significant breakthrough in the field of multimodal retrieval. The BGE-VL model achieves state-of-the-art results on various multimodal retrieval tasks, including image-text retrieval and compositional image retrieval, significantly improving the performance of multimodal retrieval.

JD Cloud Shenzhen unveils eight flagship products and five deployment modes, making AI implementation more accessible and cost-effective. This comprehensive solution addresses the final mile of AI deployment, providing a seamless experience for businesses.

On February 25th, JD Retail's technology team announced the official launch and full opening of its self-developed JingDianDian AIGC content generation platform. This platform aims to provide e-commerce merchants with a highly efficient and cost-effective content generation solution using AI technology. Currently, the platform covers over 20 core scenarios, with daily AI capability calls exceeding 10 million times. It assists over 350,000 JD merchants in generating high-quality product images, marketing copy, and soon-to-be-launched main video, significantly improving content production efficiency and reducing production costs.

Baichuan Intelligent announced today that its 'AI Pediatrician', developed in collaboration with Beijing Children's Hospital and Pediatric Health Technology (Beijing) Co., Ltd., has officially entered clinical application after nearly a month of internal testing and expert approval. This milestone development marks an important step in the in-depth application of AI technology in the medical field. Image Source Note: Image generated by AI, authorized by Midjourney, was first launched yesterday by the National Children's Medical Center at Capital Medical University affiliated Beijing Children's Hospital featuring 'AI Pediatrician + Multidisciplinary'.

Yushu Technology, which gained wide attention for its robot performance of 'Yangge Dance' during the 2024 Spring Festival Gala, has officially confirmed plans to establish a branch in Beijing. The company's co-founder, Chen Li, has confirmed this news. According to information from recruitment platforms, Yushu Technology is currently hiring company representatives for the Beijing branch, offering a monthly salary of 30,000 to 60,000 yuan. The main responsibilities of this position include coordinating the construction of the Beijing branch, technical planning, personnel management, and collecting industry policy information and project funding applications for the Beijing area. In terms of talent requirements, Yushu Technology is looking for candidates for this position...

Recently, Meitu Image Research Institute (MT Lab) and Beijing Jiaotong University jointly proposed a technique called MEMatte (Memory Efficient Matting), which is a super high-resolution matting technology successfully selected for the top-tier conference in the field of artificial intelligence, AAAI 2025. The main highlight of the MEMatte technology is that it is a memory-friendly natural image matting framework that effectively reduces the computational overhead of the model. This innovation allows for operations in memory-constrained environments, such as commercial graphics cards and edge devices.

Mindray Medical and Tencent have jointly launched the world's first large model for critical care - the 'Qiyuan Critical Care Model'. This innovative tool aims to alleviate the burden on ICU doctors through artificial intelligence technology and enhance rescue efficiency. The Qiyuan Critical Care Model can efficiently process patient data and take over paperwork, allowing doctors to focus more on treatment and rescue efforts.