- Leaders: Wilson Wang Tina Tsou
- Objective: To design, develop, and deploy a robust Agent-as-a-Service (AaaS) platform leveraging edge computing to run AI models locally on edge devices. This platform aims to enhance performance, reduce latency, and improve scalability by deploying machine learning agents closer to data sources and end-users, ensuring efficient and real-time processing of AI tasks.
- Approach:
General
Content
Integrations