About
Contact & Profiles
A5040954519
Research Areas
- Product Development and Customization
- Flexible and Reconfigurable Manufacturing Systems
- Manufacturing Process and Optimization
- Quality and Supply Management
- Advanced Neural Network Applications
- Scheduling and Optimization Algorithms
- Advanced Memory and Neural Computing
- IoT and Edge/Fog Computing
Jönköping University
2006
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propose a holistic approach that focuses on optimizing algorithms while addressing safety and security challenges inherent AIoT systems. foundation this lies in modular scalable cognitive IoT hardware platform, which leverages microserver technology enable users configure the meet requirements diverse array...
10.1145/3587135.3592175
preprint
EN
2023-05-09
Coming Soon ...