About Event:

As artificial intelligence advances toward Artificial General Intelligence (AGI), the complexity of task environments grows. Relying on a single large-scale model for decision-making can lead to suboptimal or irrational outcomes, especially in high-stakes fields like medicine, security, robots, automatic drive, etc. Multi-modal agents, which integrate diverse modalities allows for a richer, more nuanced representation of the world, which can lead to more robust and adaptable systems. These agents can perceive, reason, and act in complex environments, offering more comprehensive and accurate reasoning and content generation, which is critical for high-reliability systems in diverse sectors. They are especially useful in complex tasks that require understanding and interaction across different types of data.