Brains and Machines

Professor Guillermo Gallego, an expert in algorithms for event-based vision from the Technical University of Berlin, discusses the cutting-edge world of bio-inspired event-driven cameras. He explains how these cameras mimic human vision and operate in various light conditions, which is vital for autonomous robotics. The conversation dives into motion estimation, enhancing spatial AI, and the unifying frameworks that improve visual processing. Gallego also shares insights on the historical evolution of cellular neural networks and their role in modern imaging systems.

Yulia Sandamirskaya, creator of the Neuromorphic Computing Group at Zurich University of Applied Sciences, combines her expertise in dynamical systems theory and robotics. She dives into the intersection of neural networks and robotics, highlighting innovative applications like drone demos and insect-inspired designs. The discussion explores the challenges of robotic place recognition and the influence of biological principles on robot design. Sandamirskaya emphasizes the importance of 3D spatial representation and active perception for advancing AI capabilities.

Join Professor Giacomo Indiveri, an expert in biologically-plausible neural circuits from the Institute of Neuroinformatics in Zurich. He dives into the complexities of creating brain-like systems using subthreshold analog neuromorphic circuits and discusses the evolution of chip technologies that mimic biological neuron behavior. The conversation highlights how these innovations can enhance consumer devices and improve usability for the elderly, all while navigating the trade-offs between precision and practicality in robotics.

In this insightful discussion, Mitra Hartmann, a Professor of Biomedical and Mechanical Engineering at Northwestern University, shares her expertise on modeling the sensory systems of rats to enhance our understanding of both brains and robotic technology. The conversation dives into the mechanics of rat whiskers and their sensory-motor roles, revealing how innovative simulations inform robotic designs. Hartmann also highlights the interplay between biology and robotics, showcasing how bio-inspired engineering can revolutionize our approach to neuroscience.

Elisabetta Chicca, head of the bio-inspired Circuits and Systems research group at the University of Groningen, discusses pioneering work in neural chips with memristors. She highlights the challenges of on-chip learning for spiking systems and the necessity for biologically plausible algorithms. The conversation explores the shift from 2D to 3D integration, enhancing robotic functions. Chicca also touches on the ethical implications of creating brain-like structures and the ambitious potential of neuromorphic systems to revolutionize energy efficiency in artificial intelligence.

In this engaging discussion, André van Schaik, a neuromorphic engineering expert and director at Western Sydney University, shares insights into the evolution of neuromorphic systems since the 90s. He explores groundbreaking projects using event-based cameras for satellite tracking and the innovative 'Deep South' FPGA-based simulator designed for spiking neural networks. The conversation reveals the challenges of simulating brain functionality and highlights the exciting future of neuromorphic technology in vision systems and computing.