Aim and Scope:
Today’s “smart” devices integrate sensing, computation, and memory in a single platform promising much higher capabilities and performance for embedded systems. Artificial Intelligence and Machine Learning methods can be tightly integrated within these embedded platforms to enable revolutionary changes in many applications including autonomous vehicles, robotics, industrial control, smart cities, to name a few. However, the realization of these systems will require cross-cutting innovations in algorithms, architecture, circuits, and devices to address fundamental challenges in accuracy, robustness, latency, and energy-efficiency of embedded AI platforms for real-time systems. The ability to extract features from multiple modalities and process information will be a key to the success of embedded AI platforms. The proposed special session will provide a forum for fellow researchers in this exciting cross-disciplinary field to interact and explore integrated solutions.
Potential topics include:
- Digital, analog and mixed-signal circuits for embedded AI platforms.
- Latency sensitive design of AI/ML platforms.
- System architectures for energy-efficient embedded AI systems.
- Design of AI/ML algorithms for embedded real-time platforms.
- Accuracy and robustness of embedded AI platforms.
- AI/ML techniques for multi-modal information processing embedded platforms.
- Simulation studies of real-time embedded AI systems.
- Benchmarks for evaluation of embedded AI systems.
- Innovative applications of embedded AI platform for real-time applications.
- Prof. Saibal Mukhopadhyay, Georgia Institute of Technology, USA
- Prof. Amit Trivedi, University of Illionis - Chicago, USA
- Prof. Kaushik Roy, Purdue University, USA
- Paper submission: January 15th, 2020
- Notification of acceppance: March 15th, 2020
- Final Paper Submission and Early Registration Deadline: 15 April 2020
- Conference: July 19-24 July 2020
- Paper guidelines: https://wcci2020.org/submissions/
- Select the topic "Embedded Artificial Intelligence for Real-Time Systems" from the "Special Sessions" category as the main research topic