Advances in Embedded Artificial Intelligence and Applications
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 20 December 2025 | Viewed by 14
Special Issue Editor
Interests: embedded systems; cyber physical systems; digital twins; real-time systems; AI; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has achieved remarkable success across a wide range of domains, from natural language processing to autonomous vehicles, demonstrating its ability to learn complex patterns and make intelligent decisions. However, its adoption in industrial control and embedded systems, such as robotics, remains limited. This is primarily due to the heavy computational demands of modern AI models, which are often incompatible with the resource-constrained platforms typically used in industrial control applications. Moreover, such systems are subject to strict real-time constraints, where execution delays can compromise safety and performance.
This Special Issue aims to present the latest research results exploring novel approaches that balance intelligence with computational efficiency and timing guarantees to enable the integration AI into embedded systems and applications. This includes the design of computation-efficient AI architectures, optimization techniques for AI models compression and reduction, execution parallelization and acceleration.
Topics of interest include, but are not limited to:
- Computation-efficient AI architectures;
- TinyML and models reduction;
- Hardware acceleration;
- Algorithms for embedded AI;
- Deployment and customization;
- AI engines.
Dr. Jalil Boudjadar
Guest Editor
Manuscript Submission Information
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Keywords
- AI models reduction
- computation-efficient AI
- TinyML
- embedded AI
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