AI for Edge Computing
April 20, 2020
A platform-based approach for faster time-to-market
Artificial Intelligence (AI) is the critical technology that will enable next-generation IoT systems across every application and industry. Having to program these systems manually limits their flexibility as well as slows the rate at which innovation can be deployed. AI makes it possible to implement advanced capabilities quickly and efficiently to reduce development costs and speed time-to-market.
Bringing AI out to the edge is important for applications where there is a great deal of data to process and real-time responsiveness is essential. Developing robust AI for edge applications, however, can be extremely complex and requires the integration of application-specific system and analysis software running on specialized hardware such as Intel-based video processing units (VPU) working alongside GPUs like those from NVIDIA.