A talk for the Advanced Topics in Hearing Research seminar at DTU Department of Health Technology on brain-inspired event-based signal processing and neuromorphic computing. The talk covers three parts: (1) the case for event-driven processing, drawing parallels between biological sensory systems and event cameras, (2) covariant signal processing with spiking neurons, including spatio-temporal receptive fields and spiking wavelets, and (3) deployment on neuromorphic hardware at hearing-aid power budgets using NIR.

A talk for the REAL group (Robotics, Evolution and Artificial Life) at the IT University of Copenhagen on event-driven sensing and neuromorphic computation for embodied intelligence. The talk covers three themes: (1) the case for neuromorphic computing, motivated by the energy efficiency and speed of event cameras and neuromorphic hardware, (2) mathematical foundations for spiking neural networks, including our work on spatio-temporal covariant receptive fields and scale-covariant spiking wavelets, and (3) the convergence of event-driven sensing, neuromorphic compute, and embodied agents toward physical AI.

A talk for researchers who use computation but may not think of themselves as software developers. The argument: software is not a detail of computational science, it is the science. Starting from Kenneth Craik’s model of cognition, I trace what it means for code to carry (or corrupt) knowledge—and what a healthy lifecycle looks like in practice. Topics covered include reproducibility, libraries and runtime dependencies, and the path from a first exploratory script to a published, reproducible result.