Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the design, testing, and scaling of safe multi-agent AI systems in this advanced conference talk from Microsoft Ignite 2025, featuring Cognizant VP of AI Research Risto Miikkulainen. Discover groundbreaking research demonstrating how multi-agent systems can tackle complex tasks beyond the capabilities of single-agent models, even when scaling to a million agents. Learn the fundamental advantages of multi-agent architectures including divide-and-conquer strategies, enhanced collaboration capabilities, and increased system flexibility. Examine real-world deployment examples within Cognizant and gain insights into both proprietary and public multi-agent networks. Participate in an interactive demonstration showcasing semantic density in practice and understand how to extend trustworthiness across large-scale multi-agent networks. Compare performance metrics between evolutionary strategies and reinforcement learning approaches for agent optimization. Delve into complex reasoning capabilities and multi-agent task coordination while addressing the limitations of large language models in introspection and metacognition. Master techniques for evaluating and fine-tuning agent confidence using evolutionary strategies and discover practical applications for driving organizational growth through advanced AI systems.
