Multi-Agent Systems In Business: Evaluation, Governance And Optimization For Cost And Sustainability
Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...
What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...
Nvidia’s latest generation of open models builds on the growing development of multi-agent systems and expands the company’s ...
Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...
What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...
The field of control systems and multi-agent dynamics encompasses a sophisticated blend of theory and practice, designed to manage the behaviour of interconnected systems ranging from large-scale ...
The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...
Microsoft researchers this week unveiled a new multi-agent AI system, aimed to help enterprises automate complex tasks typically requiring human intervention. Named Magnetic-One, the open source ...
Spacecraft are becoming too complex, too autonomous and too far from Earth to rely on static rules and ground-driven investigation. Multi-agent AI provides a practical, incremental, operationally ...
‘It's just so obvious that these AI agents need to be connected. There are disparate but related tasks you need to do, and now these agents can actually collaborate and make them happen, which means ...
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