Ready to download this white paper?

First Name
Last Name
Job Title
Phone Number
You may receive a request for your feedback from OpenSystems Media. Read our new Privacy Policy to understand what data we collect, why we collect it, and what we do with it.
Europe OptIn
Your download is ready!
Error - something went wrong!

AI for Edge Computing

April 20, 2020

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.

Previous Article
On-Demand Training Available – Topics include Machine Learning, Security, Motor Control and So Much More!

NXP is excited to bring you the NXP eXperience – an online and interactive destination for all our news, co...

Next Article
Your New Coworker Could Be AI-Powered
Your New Coworker Could Be AI-Powered

AI is enabling a new range of competitive advances in the workplace. One of these is robots.