The IEEE Signal Processing Society is inviting submissions for a forthcoming special issue of the IEEE Journal of Selected Topics in Signal Processing (JSTSP), focusing on what it describes as a growing field: Autonomous and Evolutive Optimization in Networked AI.
According to the call for papers, the topic “represents a transformative paradigm for Signal Processing and Artificial Intelligence (AI) communities”, combining traditional signal processing techniques with modern deep learning approaches.
The organizers say the approach integrates “traditional knowledge-based adaptive signal processing techniques and data-centric deep-neural network models”, enabling systems to “dynamically acquire high-quality data in the continuous inferences of networked AI models”. [Read more…] about IEEE calls for papers on autonomous optimization in networked AI









