Abstract
The advent of the Internet of Things (IoT) has witnessed a rapid proliferation of interconnected devices capable of sensing, collecting, and exchanging vast amounts of data. This data deluge has created a pressing need for efficient processing and analysis at the edge of the network, leading to the emergence of Edge Artificial Intelligence (AI) as a promising solution. Edge AI enables intelligent decision-making and real-time analytics on IoT devices, reducing the latency and bandwidth requirements associated with cloud-based processing. This paper aims to provide a comprehensive overview of the open challenges in deploying Edge AI for IoT devices. We identify and discuss key technical and practical challenges that hinder the widespread adoption and optimal utilization of Edge AI in the IoT ecosystem.
| Original language | English |
|---|---|
| Title of host publication | New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence |
| Number of pages | 7 |
| Volume | 1452 |
| Publisher | Springer |
| Publication date | 22 Jul 2023 |
| Pages | 312-319 |
| ISBN (Print) | 978-3-031-38343-4 |
| ISBN (Electronic) | 978-3-031-38344-1 |
| DOIs | |
| Publication status | Published - 22 Jul 2023 |
| Event | Disruptive Technologies, Tech Ethics and Artificial Intelligence - Salamanca, Salamanca, Spain Duration: 21 Jun 2023 → 23 Jun 2023 https://link.springer.com/conference/dittet |
Conference
| Conference | Disruptive Technologies, Tech Ethics and Artificial Intelligence |
|---|---|
| Location | Salamanca |
| Country/Territory | Spain |
| City | Salamanca |
| Period | 21/06/2023 → 23/06/2023 |
| Internet address |
| Series | Advances in Intelligent Systems and Computing |
|---|---|
| ISSN | 2194-5357 |
Keywords
- IoT
- Edge devices
- Deep learning
- Machine Learning
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