Call for Presentations: Beyond van Neuman v2 livestream, 16 September 2026

Updated Jun 26, 2026 Neuromorphic

Energy-Frugal, Full-Stack Solutions for Challenging Environments

Neuromorphic computing offers a paradigm shift for energy-constrained environments where power frugality is the ultimate enabler. Taking inspiration from the human brain, neuromorphic systems optimize for information per unit of energy rather than just raw throughput.

The Edge AI Foundation invites researchers and industry practitioners to submit presentation abstracts for our virtual forum in September 2026. This event focuses on the practical deployment of neuromorphics at the sensor edge, prioritizing full-stack solutions to real-world challenges.

Focus & Scope

We are seeking submissions that detail the end-to-end deployment lifecycle, including but not limited to:

  • Data Acquisition: Innovative data gathering and signal-to-spike transformation.
  • Model Development: Methodologies for training and optimizing Spiking Neural Networks (SNNs) and their positioning in the full signal processing chain.
  • Hardware Mapping: Quantization and deployment strategies for physical neuromorphic hardware or high-fidelity simulation environments.
  • Community highlight: Some high-profile communities are focused on some of the grand-challenges of neuromorphics, and their strategy and approach will be highlighted.

Given potential hardware un-availability, we also welcome algorithmic or simulation-based solutions, provided they demonstrate a clear path to physical deployment.

Target Applications

We are looking for use cases where traditional compute fails to meet power or latency constraints:

  • Physical AI: Physical AI, whether in terms of Robotics, or Automotive and Mobility, relates perception of the environment through a variety of sensors to planning and execution of actions.
  • Aerospace & Rugged Environments: Building resilience and autonomy in extreme, isolated, or radiation-hardened conditions.
  • Biomedical Edge: Ultra-low-power wearables and implants capable of long-term, personalised signal tracking.
  • Low-Power & Low-Latency Systems: Consumer electronics-focused applications requiring real-time responsiveness and high-frequency signal tracking within a minimal energy footprint on a tight battery budget.

Submission Logistics