Evolution of AI Agents
The field of intelligent agents has seen significant advancements, evolving from early rule-based systems to increasingly autonomous and collaborative entities capable of complex decision-making. This talk examines the progression of agent-based systems in terms of complexity, autonomy, and coordination. It places particular emphasis on the emergence of multi-agent systems (MAS), covering topics such as agent-to-agent communication, protocols like the Model Context Protocol (MCP), the importance of rigorous evaluation, and the role of guardrails in ensuring safe and aligned behavior.
Speakers
Malith is the head of research and AI at WSO2, orchestrating the company's AI initiatives and research efforts. He is instrumental in developing AI strategy and creating AI-powered product features, fostering a culture of innovation among the AI team for seamless project progression from inception to delivery. Malith also engages in collaborative research with academic institutions, aiding the advancement of computer science. He is a regular speaker at prominent developer events such as DeveloperWeek, the Global Big Data Conference, and DEV DAY, sharing insights and promoting knowledge exchange within the tech community. Malith has made significant academic contributions, publishing his work in journals like IEEE Transactions on Parallel and Distributed Systems (TPDS) and the Journal of Parallel and Distributed Computing (JPDC), and presenting at conferences such as IEEE Cluster, IEEE NCA, and DEBS. Malith holds a PhD in computer science from RMIT University in Australia.