← Back to the NeuroCore 2026 Page
Call for Papers — Energy Efficient Neuromorphic Accelerators for Edge and Cloud
The Energy Efficient Neuromorphic Accelerators for Edge and Cloud track invites original research contributions advancing low-power, high-performance neuromorphic computing across distributed environments. As AI workloads increasingly demand real-time processing, ultra-low-latency inference, and sustainable energy profiles, neuromorphic accelerators are emerging as a transformative solution for both edge devices and large-scale cloud infrastructures.
This track welcomes innovations in architecture, circuits, algorithms, and system-level design that push the boundaries of energy efficiency, scalability, and deployment readiness. Topics of interest include, but are not limited to:
- Neuromorphic accelerators for edge, IoT, and mobile platforms
- Energy-optimized architectures for cloud-scale neuromorphic workloads
- Event-driven, spiking, and in-memory accelerator designs
- Hardware–algorithm co-design for low-power neuromorphic inference
- Mixed-signal and emerging-device-based accelerator solutions
- Benchmarking, evaluation, and real-world deployment case studies
Paper submission should be completed online via EDAS:
https://mcsoc-forum.org/site/index.php/paper-submission/
We invite researchers, practitioners, and industry innovators to submit high-quality papers showcasing breakthroughs, prototypes, methodologies, and visionary concepts that advance the state of neuromorphic acceleration for next-generation intelligent systems.
Paper Submission
All papers must be submitted electronically through EDAS. Authors are encouraged to review the detailed submission instructions before uploading their manuscripts.
View Submission Guidelines
