HYBRAIN Coordinator Featured in Podcast on Neuromorphic Computing and the Future of AI

On Thursday 3 April 2025, The coordinator of HYBRAIN took part in a podcast episode dedicated to neuromorphic computing and the future of AI.

During the episode, the discussion focused on the limits of today’s computing technologies, extremely powerful, yet increasingly energy-hungry, and on the need for new, more efficient paradigms inspired by the human brain. Neuromorphic computers, designed to adapt, learn, and drastically reduce energy consumption, were presented as a promising path forward.

The conversation explored how brain-inspired architectures work, why they matter for the next generation of artificial intelligence, and how current research, such as the one performed by the HYBRAIN project, is pushing beyond the boundaries of conventional computing. Drawing on cutting-edge developments in nano-electronics and AI, the episode offered a clear view of how neuromorphic approaches could reshape future technologies.

The podcast appearance contributes to HYBRAIN’s ongoing efforts to raise awareness and foster dialogue around innovative, energy-efficient computing models and their potential impact on science, industry, and society.