Year: 2025

Sumitomo and Multiway: Upgrading Production Line Logistics Automation to Create a New Efficient Labor Model

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Sumitomo and Multiway: Upgrading Production Line Logistics Automation to Create a New Efficient Labor Model

In an era of rapid digitalization and intelligence, companies are seeking transformation and upgrades to enhance competitiveness and efficiency. Multiway Robotics, with its leading unmanned forklift and intelligent logistics solutions,has partnered with the Fortune Global 500 company Sumitomo to successfully achieve the automation upgrade of production line logistics.. MW Project Background and Objectives Sumitomo aims … Read more

Practical Experience with Multi-Agents from Anthropic: How We Built a Multi-Agent Research System

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Practical Experience with Multi-Agents from Anthropic: How We Built a Multi-Agent Research System

When building an agent system, the performance of a single agent always has its bottlenecks. When the complexity of tasks crosses a certain threshold, the “Multi-Agents” architecture becomes a necessary path. Claude has recently made groundbreaking attempts in the field of multi-agent research systems, fully disclosing the architectural design challenges, prompt optimization strategies, and practical … Read more

Deep Learning + Multi-Omics Data (DL + Multi-Omics): Applications in Cancer Research

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Deep Learning + Multi-Omics Data (DL + Multi-Omics): Applications in Cancer Research

Cancer, as a highly heterogeneous disease, involves complex changes across multiple layers, including the genome, epigenome, transcriptome, proteome, and metabolome. In recent years, with the rapid development of high-throughput sequencing technologies, the integrated analysis of multi-omics data has provided unprecedented opportunities for cancer research. Deep learning (DL) technology can analyze high-dimensional datasets to discover new … Read more

From Solo Comedy to Group Debate: Sun Yat-sen University & Meituan Open Source MultiTalk: A State-of-the-Art Model for Multi-Character Dialogue Generation with Voice-Visual Alignment Accuracy of 98.7%!

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From Solo Comedy to Group Debate: Sun Yat-sen University & Meituan Open Source MultiTalk: A State-of-the-Art Model for Multi-Character Dialogue Generation with Voice-Visual Alignment Accuracy of 98.7%!

MultiTalk, open-sourced by Sun Yat-sen University, Meituan, and Hong Kong University of Science and Technology, enables the generation of multi-character dialogue videos. It achieves state-of-the-art performance in synchronizing voice with lip movements and supports interactions between characters, objects, and scenes through prompts. Related Links Homepage: https://meigen-ai.github.io/multi-talk/ Code: https://github.com/MeiGen-AI/MultiTalk Paper: https://arxiv.org/abs/2505.22647 Paper Introduction In recent years, … Read more

Introduction to the New Book | Multi-Agent-Based Simulation XXIV

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Introduction to the New Book | Multi-Agent-Based Simulation XXIV

Preface In the field of technology and product development, technological maturity is typically divided into9 levels. Recently, Professor Leigh Tesfatsion from Iowa State University in the United States proposed the concept of maturity in the design of electricity market mechanisms in several reports and papers, which includes9 levels. Levels 1-3 represent the mechanism analysis, theory, … Read more

Understanding the MCP Workflow: Intelligent Agents and Multi-Agent-Manus!

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Understanding the MCP Workflow: Intelligent Agents and Multi-Agent-Manus!

As AI enters the “usable stage,” how can we build a truly efficient, flexible, and controllable intelligent agent system? Relying solely on a “smart large model” is clearly not enough. For genuinely complex tasks, a clearly defined “team operation” is essential. The Multi-Agent-Manus (MCP process) has emerged, which is not just a simple execution chain … Read more

The Clash of Multi-Agent Architectures: Cognition vs Anthropic

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The Clash of Multi-Agent Architectures: Cognition vs Anthropic

On June 12, Walden Yan from Cognition just published an article titled “Don’t Build Multi-Agents”. The next day, Anthropic released a lengthy 6000-word practical summary titled “How we built our multi-agent research system”. 💥 Cognition’s Stance: Avoid Multi-Agents The core viewpoint of Cognition co-founder Walden Yan: Context fragmentation is the root cause of agent failure; … Read more

Google Research Finds: The Core of Multi-Agent Systems is Prompt Design!

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Google Research Finds: The Core of Multi-Agent Systems is Prompt Design!

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners.Research | Multi-Agent SystemsEditor | … Read more

How We Built Our Multi-Agent Research System

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How We Built Our Multi-Agent Research System

Recently, there have been two interesting articles about Multi-agent systems that are worth checking out. https://www.anthropic.com/engineering/built-multi-agent-research-system https://cognition.ai/blog/dont-build-multi-agents#applying-the-principles On June 13, 2026, Anthropic released “How We Built Our Multi-Agent Research System,” sharing the engineering challenges encountered in building multi-agent systems and the lessons learned. Claude now possesses research capabilities, enabling it to perform complex tasks through … Read more

Google Research Finds: The Core of Multi-Agent Systems is Prompt Design!

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Google Research Finds: The Core of Multi-Agent Systems is Prompt Design!

Datawhale shares Research: Multi-Agent Systems, Editor: PaperAgent In multi-agent systems (MAS: multi-agent systems), designing effective prompts and topologies is challenging, as individual agents may be sensitive to prompts, and manually designing topologies requires extensive experimentation. Paper link: https://arxiv.org/pdf/2502.02533 Paper title: Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies To automate the entire design process, … Read more