Insight
Deployment of AI in Mobile Computing and Edge Devices
- 16 September 2025
- 5 min
Artificial intelligence (AI) has emerged as a critical force in the technology industry, improving efficiency, productivity, and decision-making across a wide range of sectors. The application of AI is rapidly spreading beyond desktop and cloud computing, offering not only performance benefits but also substantial cost-saving potential.
Challenges of deployment of AI in embedded devices
In this paper, we offer solutions for what to do when faced with the challenges of deployment of AI in embedded devices, and lead by example on how we overcame these challenges for our specific edge device deployment. And more:
- Introduction
- Circumstances for using an edge device
- Identifying the optimal edge device for model implementation
- Response strategies when edge hardware fails to meet model demands
- Addressing excessive power consumption
- Methods and implementation
- Conclusions
