AssetOpsBench: Industrial Agents Meet a Real-World Benchmark Industrial assets do not fail neatly; they fail in ways that force engineers to pull signals from sensors, recall failure modes, and translate insights into work orders. AssetOpsBench is IBM's open-so... AssetOpsBench benchmark IBM Research industrial AI multi-agent systems
Agentic Neural Networks: Self-Evolving Multi-Agent Systems Through Textual Backpropagation The landscape of artificial intelligence is rapidly evolving as researchers explore new ways to harness the collaborative power of multiple Large Language Models (LLMs). A groundbreaking paper from Lu... artificial intelligence LLMs multi-agent systems neural networks optimization textual backpropagation
AssetOpsBench Sets New Standards for AI in Industrial Asset Management Industrial asset management is undergoing a transformation as artificial intelligence agents are poised to take on complex tasks, from predictive maintenance to troubleshooting intricate machinery. At... AI agents asset management benchmarking failure analysis industrial automation LLM evaluation multi-agent systems open source
Mastering Context Engineering: Boosting AI Agent Performance with Smart Data Management Effective AI agents depend on the quality and relevance of the data—known as context —they access. As agents tackle more complex problems, ensuring they receive the right information at the right mome... AI agents context engineering LangGraph memory management multi-agent systems summarization tool selection
How Google Cloud’s AI Agents Are Revolutionizing Healthcare Operations The healthcare industry is undergoing a major transformation as Google Cloud introduces advanced AI agent technology through partnerships with organizations like Highmark Health and Hackensack Meridia... AI agents digital health Google Cloud Hackensack Meridian healthcare innovation Highmark Health multi-agent systems Vertex AI
Scaling Research with Multi-Agent AI: Lessons from Anthropic's System Anthropic’s experience with multi-agent research systems reveals both the transformative power and engineering challenges of orchestrating teams of Claude agents. Their approach offers valuable lesson... AI research Claude evaluation multi-agent systems production engineering prompt engineering system architecture tool design
How AI Is Transforming Drug Discovery: The Robin System’s Leap Forward Artificial intelligence is rapidly redefining the way new medications are discovered. Imagine a process where AI sifts through endless scientific literature, uncovers hidden links, and guides research... AI automation drug discovery drug repurposing literature synthesis multi-agent systems RNA-seq therapeutics
AI Orchestration in Healthcare: Teamwork with Multi-Agent Collaboration What if artificial intelligence (AI) collaborated alongside clinicians, reflecting the teamwork required in real-world care. Microsoft’s Healthcare Agent Orchestrator is working on this feat of ... AI healthcare clinical decision support collaborative workflows explainable AI healthcare AI models Microsoft Teams integration multi-agent systems Semantic Kernel
Agent Communication Protocol (ACP) is Shaping Collaborative AI What if AI agents from different organizations and frameworks interact as effortlessly as people sending messages? This vision is rapidly becoming a reality thanks to the Agent Communication Protocol ... ACP agent communication AI agents AI integration interoperability multi-agent systems open standard REST API
Engineering at the Speed of Thought: How Multi-Agent AI and Synera Are Transforming Complex Workflows Rethinking Engineering Bottlenecks Submitting a complex engineering request and receiving a thorough, data-driven response within minutes, not weeks is now possible through the synergy of multi-agent ... AI automation Amazon Bedrock digital transformation engineering multi-agent systems process automation Synera workflow