工信部部长李乐成：加快突破高端芯片、高速互联等技术，推动构建智能芯片软硬协同发展生态

Core Viewpoint - The article emphasizes the need to accelerate breakthroughs in key core technologies within the artificial intelligence sector to gain competitive advantages and establish a solid foundation in computing power, algorithms, and data [1] Group 1: Key Technology Development - The focus is on strengthening computing power supply and utilizing existing support channels effectively to accelerate breakthroughs in high-end chips and high-speed interconnect technologies [1] - The establishment of a computing power interconnection platform is highlighted to enhance collaborative computing power scheduling [1] Group 2: Algorithm and Model Innovation - There is a call to tackle algorithm models, with an emphasis on advancing foundational research in language, vision, and multimodal algorithms, as well as breakthroughs in brain-like intelligence and world models [1] - The development of large models in specific industrial sectors is encouraged, promoting collaboration between large and small models for innovation [1] Group 3: Public Service and Data Integration - The creation of a public service platform for large models is proposed to provide high-level models and supporting tools [1] - The article advocates for "model-data resonance," guiding the collaborative innovation and deep integration of AI models with high-quality datasets, and establishing a comprehensive mechanism for data sharing, model optimization, application incubation, and security assurance [1]