Core Insights - The 2026 Singularity Intelligent Technology Conference will take place in Shanghai on April 17-18, organized by CSDN and Singularity Intelligence Research Institute [1] - The conference aims to provide attendees with practical survival guides to thrive in a rapidly evolving technological landscape, focusing on the entire lifecycle of AI technology [2][3] Group 1: Key Topics and Pain Points - The conference will cover various layers of AI technology, including perception, control, decision-making, application, infrastructure, research, and architecture [2] - A significant pain point addressed is the limitations of embodied intelligence in low-light or obstructed environments, which can hinder performance in high-risk industrial scenarios [6] - Solutions presented include multi-modal super perception and data-driven regulatory control loops, with insights from experts on overcoming visual blind spots and enhancing operational efficiency in unmanned machinery [7] Group 2: Business AI Evolution - Traditional business AI often stops at sales predictions, while companies require counterfactual reasoning to understand the impact of pricing changes on competitors [8] - The concept of Agentic Commerce will be explored, focusing on causal modeling practices to create business world models that reflect decision-environment-outcome relationships [8][9] - Attendees will learn about the paradigm shift from prediction-driven AI to decision-driven AI, utilizing game theory and simulation to optimize strategies in multi-agent markets [9] Group 3: AI in Software Development - The conference will address the challenges of coding agents and the need for a shift from single-point assistance to collaborative standards in large development teams [18] - A six-dimensional cognitive architecture for agent design will be introduced, emphasizing the importance of memory, reasoning, and collaboration in building reliable agents [20][21] - The event will feature discussions on how AI can reshape software development practices, with insights from leaders in major tech companies [23] Group 4: Future of AI Infrastructure - The conference will delve into the cost and performance challenges of deploying large models, exploring solutions like inference-free techniques and reconfigurable computing [16][17] - Experts will share practical experiences in building AI infrastructures that can dynamically adapt to evolving AI demands, including the development of a 4K super node solution [17] - The focus will be on achieving a balance between effectiveness, speed, and cost in AI applications [16] Group 5: Collaboration and Networking - The conference will feature over 50 leading technology experts discussing topics such as large language models, multi-modal world models, and AI-native applications [22] - Opportunities for collaboration and knowledge sharing will be emphasized, aiming to create verifiable and reusable engineering experiences in the AI era [27]