Speaker: Salabat Khan

Topic: Swarm Intelligence

Abstract: Swarm Intelligence (SI) is a nature-inspired computational approach where simple agents collectively solve complex problems through self-organization and decentralized decision-making. This seminar explores key SI techniques, with a focus on Ant Colony Optimization (ACO) and its applications in robotics, machine learning, optimization, and IoT. It highlights the research contributions in swarm-based AI systems and discusses future directions, including hybrid AI models and security challenges in decentralized networks. By bridging theory with real-world applications, this talk aims to showcase the potential of SI in advancing intelligent systems.