
Neuromorphic Computing for Edge Intelligence workshop

Co-located with PReMI 2025 | IIT Delhi, India | Decebmer 11, 2025
We are organising "The Neuromorphic Computing for Edge Intelligence" workshop that invites original research contributions that explore the intersection of neuromorphic computing and edge AI. This workshop aims to bring together researchers, engineers, and practitioners to discuss scalable, energy-efficient, and adaptive solutions for edge intelligence.

Topics include:
• Spiking Neural Networks (SNNs) and event-driven architectures
• In-memory and non-von Neumann computing for edge
• Neuromorphic hardware platforms (e.g., Intel Loihi, IBM TrueNorth, Brainchip Akida)
• Signal processing and pattern recognition using neuromorphic systems
• Edge analytics for auditory, visual, and physiological signals
• Energy-efficient and low-latency AI for embedded systems
• Interdisciplinary approaches combining neuroscience, AI, and hardware
• Real-world applications in healthcare, smart cities, disaster response, and industrial automation
• Tools, simulators, and benchmarks for neuromorphic edge systems
• Ethical and inclusive AI at the edge

Submit your paper by Sept 15, 2025 (8 page LNCS format)

Notification: October 15 |

Camera-Ready: October 31

Neuromorphic Computing for Edge Intelligence workshop

Co-located with PReMI 2025 | IIT Delhi, India | Decebmer 11, 2025
We are organising "The Neuromorphic Computing for Edge Intelligence" workshop that invites original research contributions that explore the intersection of neuromorphic computing and edge AI. This workshop aims to bring together researchers, engineers, and practitioners to discuss scalable, energy-efficient, and adaptive solutions for edge intelligence.

Topics include:
• Spiking Neural Networks (SNNs) and event-driven architectures
• In-memory and non-von Neumann computing for edge
• Neuromorphic hardware platforms (e.g., Intel Loihi, IBM TrueNorth, Brainchip Akida)
• Signal processing and pattern recognition using neuromorphic systems
• Edge analytics for auditory, visual, and physiological signals
• Energy-efficient and low-latency AI for embedded systems
• Interdisciplinary approaches combining neuroscience, AI, and hardware
• Real-world applications in healthcare, smart cities, disaster response, and industrial automation
• Tools, simulators, and benchmarks for neuromorphic edge systems
• Ethical and inclusive AI at the edge

Submit your paper by Sept 15, 2025 (8 page LNCS format)

Notification: October 15 |

Camera-Ready: October 31