Shanghai Global Artificial Intelligence Development and Application ConferenceAICon

AI Infrastructure and Computing Power:AI computing hardware (such as GPUs, NPUs, edge computing devices, and domestically developed computing solutions);AI infrastructure (AI Infra) including system engineering, cloud-native architectures, multi-cloud collaboration technologies, computing power scheduling and optimization, and intelligent computing center solutions

Large Models and Underlying Technologies:Architectural innovations in large language models (LLMs), lightweight designs, and efficient inference techniques;Training and fine-tuning of large models, open-source large models and their ecosystems; inference engines, model services, and deployment optimization

AI Applications and Agents:Core technologies and system architectures of AI agents, multi-agent collaboration and related ecosystems (, the MCP protocol);Native AI applications, AI programming (Vibe Coding), AI-powered R&D (Agentic DevOps); knowledge-enhanced retrieval-augmented generation (RAG) technologies, and AI-driven search and generative applications

Multimodality and Cutting-Edge Intelligence:Multimodal large models, vision-language-speech large models, and generative AI (AIGC) applications;Spatial intelligence, embodied intelligence, smart hardware, and on-device AI; world models, and AI for scientific computing (AI for Science)

Industry Applications and Solutions:Real-world implementations of AI across vertical sectors such as finance, healthcare, education, government, retail, and manufacturing (including intelligent customer service, risk management, smart office solutions, AI-assisted design, etc.);Solutions to enhance operational efficiency and accelerate digital transformation through AI

AI Data and Toolchains:Vector databases, data infrastructure, and feature services;AI development toolchains, AI testing and evaluation tools, as well as AI security and trustworthy governance tools