In this month’s Brains and Machines, Dr. Ryad Benosman discusses event-based vision, retinal prosthetics, and neuromorphic startups. A co-founder of Prophesee, he explains why he believes AI’s future must come from neuromorphic engineering. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.

On this month’s episode of Brains and Machines, five engineers debate neuromorphic sensing and learning. Recorded at the Neuromorphic Hardware and Algorithms conference at the University of Sussex, the panel explores whether events and spikes are the right framework for integrating sensor modalities, motor control, and learning across systems. They also examine commercial directions and revisit the perennial question: what is neuromorphic engineering?

The panelists are:

• Dr. Chiara Bartolozzi (Italian Institute of Technology)
• Dr. Federico Corradi (Eindhoven University of Technology)
• Dr. James Knight (University of Sussex)
• Dr. Laura Kriener (Institute of Neuroinformatics, Zurich)
• Dr. Sebastian Siegel (Peter Grünberg Institute, Jülich)

The session is chaired by Dr. Sunny Bains (University College London), followed by a discussion with Dr. Giulia D’Angelo (Czech Technical University in Prague) and Professor Ralph Etienne-Cummings (Johns Hopkins University).

In this month’s Brains and Machines podcast, Dr. Jeff Shainline talks about superconducting neural hardware. Currently in development at Great Sky in Boulder, Colorado, the new systems will incorporate photonic interconnects and a neuromorphic approach to intelligence. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.