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首个基于昇腾MindSpeed MM训练的多模态生成理解统一模型Lumina-DiMOO正式发布
Core Viewpoint - The Shanghai Artificial Intelligence Laboratory, in collaboration with Huawei Ascend, launched the Lumina-DiMOO model at the 2025 World Artificial Intelligence Conference (WAIC), marking a significant advancement in multimodal AI capabilities [1] Group 1: Product Launch - The Lumina-DiMOO model is a next-generation unified model for multimodal generation and understanding [1] - It supports various tasks including text-to-image/video generation, image editing, image translation, and image restoration [1] - This model is the first to achieve efficient end-to-end training based on the Ascend AI hardware and software platform along with the MindSpeed MM multimodal model suite [1]
天津乘“数”而上打开高质量发展新空间
Yang Guang Wang· 2025-07-02 09:25
Group 1: Digital Economy Forum - The 2025 Shanghai Cooperation Organization Digital Economy Forum will be held in Tianjin on July 10-11, aiming to deepen practical cooperation in the digital economy [1] - By the end of 2024, the core industry value added of China's digital economy is expected to account for about 10% of GDP [1] - Tianjin has been approved to establish a national digital economy innovation development pilot zone, promoting digital industrialization and industrial digitalization [1] Group 2: Artificial Intelligence Computing Center - The Tianjin Artificial Intelligence Computing Center has built a 300P AI computing power facility, serving 270 enterprises with a utilization rate of 91% [2] - The center focuses on industry-specific model development, with over 60% of demand coming from sectors like biomedicine and vehicle networking [3] - The center has achieved a full-chain innovation from computing power supply to application empowerment, enabling small and medium enterprises to overcome technological barriers [3] Group 3: Agricultural Innovation - The AIPA system developed by Kexin integrates IoT, big data, and AI to monitor and control crop growth environments, enhancing agricultural productivity [7][10] - The system can reduce labor by over 65%, increase production efficiency by 35%, and save 40% of water and fertilizer resources [11] - Kexin's technology has been applied in over 40 planting bases across multiple provinces, serving more than 5,000 acres [14] Group 4: Industrial Internet and Smart Manufacturing - The Xintian Steel Cold Rolled Sheet Company has received operational approval for its industrial internet identification and resolution secondary node, marking a significant step in digital transformation [15] - The company has connected 36 enterprises to its system, achieving over 10.2 million identification registrations and 68.1 million resolution requests [15] - The digital transformation has led to a significant reduction in labor requirements while increasing production capacity and quality [16] Group 5: Economic Growth and Policy Support - In the first quarter of 2025, Tianjin's core digital economy industries achieved revenue of 132.9 billion, a year-on-year increase of 12.2% [19] - The city has implemented policies to support computing power and promote AI development, creating over 400 benchmark projects in various sectors [19][20] - The digital economy's growth is supported by improved technological innovation, accelerated data infrastructure construction, and deepening urban digital transformation [20]
浙江移动携华为发表517电信日活动专题演讲
Huan Qiu Wang Zi Xun· 2025-05-19 03:50
Core Insights - The event highlighted the advancements in AI technology and the innovative practices of Zhejiang Mobile in the field of AI engineering and domestic computing capabilities [1][3]. Group 1: Industry Trends - The AI industry is experiencing a "dumbbell" development trend, with a dual explosion in application scenarios and computing power demand, while the foundational model architecture is gradually converging [3]. - Zhejiang Mobile is leveraging Huawei's Ascend AI foundational software and hardware platform to establish a comprehensive domestic computing capability that covers algorithm development, training acceleration, and inference deployment [3]. Group 2: Engineering Capabilities - Zhejiang Mobile has developed a systematic AI engineering capability through long-term practical applications, integrating an AI engineering platform that includes an application center, model center, and data center [5]. - The platform supports MCP services, significantly enhancing development efficiency and reducing costs; a trusted data space solution facilitates the aggregation and circulation of high-quality datasets across multiple fields, providing compliant, precise, and traceable training data for AI large models [5]. Group 3: Practical Applications - Successful benchmark cases have been established in various sectors, including government, healthcare, and energy, showcasing the value of technology empowerment [7]. - Specific projects include: - An AI government assistant application developed for customs, addressing technical challenges through optimized algorithms [9]. - A multi-modal AI medical system at a hospital that improved the identification rate of thyroid nodules by 30% and reduced analysis time to under 10 seconds [9]. - An intelligent agent project in the power sector that enhanced technical supervision efficiency by 60% and improved terminology recognition accuracy to 95% [9]. Group 4: Future Directions - Zhejiang Mobile aims to continue innovating at both the infrastructure and service capability levels to empower AI industry development, collaborating with Huawei and ecosystem partners for deeper technical research and ecological co-construction [10].