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 Insights - The article emphasizes the need to accelerate breakthroughs in key core technologies within the artificial intelligence sector to gain competitive advantages [1] Group 1: Key Technology Development - The focus is on strengthening foundational technologies such as computing power, algorithms, and data to support advancements in artificial intelligence [1] - There is a call to enhance computing power supply and utilize existing support channels effectively to achieve breakthroughs in high-end chips and high-speed interconnect technologies [1] - The establishment of a computing power interconnection platform is proposed to enhance collaborative computing power management [1] Group 2: Algorithm and Model Innovation - The article highlights the importance of advancing algorithm models, particularly in language, vision, and multimodal research, to achieve breakthroughs in brain-like intelligence and world models [1] - Development of large models in specific industrial sectors is encouraged, along with fostering collaboration between large and small models for innovation [1] - A public service platform for large models is suggested to provide high-quality models and supporting tools [1] Group 3: Data and Model Integration - The concept of "model-data resonance" is introduced, advocating for the integration of AI models with high-quality datasets to drive collaborative innovation [1] - An integrated mechanism for "data sharing, model optimization, application incubation, and security assurance" is proposed to enhance the synergy between data and models [1]