北京打造“人工智能第一城”，核心产业规模近3500亿元

Core Insights - Artificial intelligence (AI) is a strategic technology leading a new wave of technological revolution, significantly transforming human production and lifestyle [1] - Beijing is positioning itself as the "AI capital" of China, with over 2,400 AI companies and a core industry scale nearing 350 billion yuan, accounting for half of the national total by 2024 [1] Group 1: AI Innovation and Research - Beijing is recognized as the city with the richest AI innovation resources in China, hosting 21 national key laboratories and over 40% of the nation's top talent [2] - The city has established four new research institutions focused on AI, producing globally leading original results, including the first native multimodal large model, Emu [2] - The Zhiyuan Institute has developed the "Wudao" series of large models, with Wudao 1.0 and Wudao 2.0 being significant milestones in China's AI model development [2][3] Group 2: AI Applications and Developments - Beijing has launched 132 large models, leading the nation in this area, and is focusing on disruptive technologies like optical computing and wafer-level chips [4] - The integration of AI with hardware is exemplified by companies like Mianbi Intelligent, which focuses on edge AI models that perform processing directly on user devices [4] - The education sector is set to benefit from AI with the introduction of MAIC (Massive AI-empowered Courses), which aims to enhance teaching efficiency and learning outcomes [5] Group 3: Future Directions and Infrastructure - Beijing plans to enhance its AI infrastructure, with an expected addition of 8,620 PetaFLOPS of computing power by 2024, bringing the total to over 33,000 PetaFLOPS [7] - The city aims to establish itself as a global hub for AI innovation and industry, focusing on interdisciplinary fields such as AI + life sciences and AI for science [7] - Efforts will be made to integrate data and applications, leveraging Beijing's rich data resources and comprehensive industrial system to promote the application of large models in the economy [7]