Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.

By the time robotics and AI are connected within a project, most design choices have already been fixed. Engineers end up modifying code and hardware in parallel to make the system behave consistently.

Claire chatted to Samuele Vinanzi from Sheffield Hallam University about how robots can tell whether to trust or distrust people.

Samuele Vinanzi is a Senior Lecturer in Robotics and Artificial Intelligence at Sheffield Hallam University. He specializes in Cognitive Robotics: an interdisciplinary field that integrates robotics, artificial intelligence, cognitive science, and psychology to create robots that perceive, reason, and interact like humans. His research focuses on enabling social collaboration between humans and robots, particularly emotional intelligence, intention reading, and artificial trust. His recent book, “In Robots We Trust“, explores trust relationships between humans and robots.