Exploration of JD.com’s Intelligent Assistant Technology Based on Multi-Agent Systems

Exploration of JD.com's Intelligent Assistant Technology Based on Multi-Agent Systems

The JD.com merchant intelligent assistant aims to solve various problems faced by e-commerce merchants during operations, including responding to various information transmitted by the platform and assisting merchants in understanding their store’s operational status. Merchants only need to communicate with the intelligent assistant on the Jingmai platform using the natural language they are most familiar … Read more

Intelligent Art Performance System Based on Multi-Agent

Intelligent Art Performance System Based on Multi-Agent

1 Introduction The Art Performance System (APS) is a comprehensive, open, integrated creative platform serving the performance axis, which includes subsystems for light art presentation, sound art presentation, visual art presentation, and form art presentation. It has technical characteristics such as distribution, autonomy, dynamism, and complexity. The integration mentioned here refers to: first, the fusion … Read more

How Meta Innovates Data Access and Security Governance with AI Agents

How Meta Innovates Data Access and Security Governance with AI Agents

❝ Hello everyone, this is “Translate Data”, a public account focused on sharing cutting-edge data technologies and AI from around the world. ❞ Recently, Meta (formerly Facebook) shared on the scale channel in the field of data infrastructure: how to utilize AI Agents to address data access and security challenges in its massive data warehouse. … Read more

Multi-AI Agent Collaboration for Triage: Enhancing Medical Efficiency and Patient-Doctor Matching Accuracy

Multi-AI Agent Collaboration for Triage: Enhancing Medical Efficiency and Patient-Doctor Matching Accuracy

After the pandemic, the pressure on hospital emergency rooms has increased significantly. On one hand, infectious diseases such as influenza and dengue fever are recurring, coupled with a surge in chronic diseases like heart disease and diabetes due to an aging population, leading to more people visiting hospitals; on the other hand, there is a … Read more

How Can AI Understand Soccer? Shanghai Jiao Tong University Team Develops Multi-Agent System for Comprehensive Analysis of ‘Beautiful Football’!

How Can AI Understand Soccer? Shanghai Jiao Tong University Team Develops Multi-Agent System for Comprehensive Analysis of 'Beautiful Football'!

The “vision” and “intelligence” of soccer AI are insufficient! Soccer is known as the “most complex team sport,” but existing research is like a “fan who can only watch the game”—either only recognizing actions (like tackles and shots) or unable to answer questions that require background knowledge (like “how many goals did a player score … Read more

How to Design an Entry-Level Multi-Agent System for Vertical Scenarios?

How to Design an Entry-Level Multi-Agent System for Vertical Scenarios?

Ideas are my own. image credit: Kevin Hawkins There is a popular saying in the industry that “2025 is the year of AI Agents”. Indeed, in the first half of 2025, we have seen a plethora of emerging “Agents”. Although there is currently no consensus on the standard definition of an Agent in the industry, … Read more

Understanding SurgRAW: Multi-Agent Workflow with Chain-of-Thought Reasoning for Surgical Intelligence

Understanding SurgRAW: Multi-Agent Workflow with Chain-of-Thought Reasoning for Surgical Intelligence

Understanding SurgRAW [ENG] SurgRAW: Multi-Agent Workflow with Chain-of-Thought Reasoning for Surgical Intelligence Paper Published: 13 March 2025 Terminology Explanation Understanding these 15 key terms will help you better grasp the technical aspects of the SurgRAW system. Artificial Intelligence (AI): A system that simulates human intelligence, capable of learning, reasoning, decision-making, and self-improvement. Robotic-Assisted Surgery: Using … Read more

Source Code Analysis of Multi-Agent System under React Architecture

Source Code Analysis of Multi-Agent System under React Architecture

1. BackgroundThis document analyzes the demo of the multi-agent data analysis assistant based on the Planning + React architecture provided in the mdp-ai-example project. Through this code, one can gain a good understanding of the implementation ideas of the Planning + React architecture and apply these ideas to the construction of actual business agent systems. … Read more

MultiAgent-Search: An Image Information Localization System Based on Multi-Agent Collaboration

MultiAgent-Search: An Image Information Localization System Based on Multi-Agent Collaboration

Author: This article is contributed by the community, authored by Wuyuhang, a learner from the Shusheng Large Model Practical Camp. This article will provide a detailed introduction to the project MultiAgent-Search, which is an image localization system based on multi-agent collaboration. Acknowledgments Hello everyone, I am a first-year graduate student at Shanghai University of Engineering … Read more

Top 10 Research Directions for AI Agents

Top 10 Research Directions for AI Agents

Recent major reports on trends for 2024 have all mentioned AI Agents. Accenture’s “Technology Outlook 2024” report indicates that 96% of executives believe that the application of AI Agent ecosystems will bring significant opportunities to their organizations in the next three years. The report suggests that as artificial intelligence evolves into agents, automation systems will … Read more