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Neuromorphic Software Ecosystems (PGI-15)
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                    Research

                    Research

                    A diagram showing a network of interconnected nodes and a detailed view of a small electronic component with visible circuitry. (Mistral: Pixtral Large 2411, 2026-03-04)

                    Neuromorphic Machine Intelligence Lab

                    The NMI lab creates neuromorphic computing technologies that learn and work like the brain by designing computer algorithms and computing architectures from the perspective of neuroscience and realization of dedicated circuits and devices. Through a mix of theoretical and applied studies, our group explores answers to the question of how to build intelligent systems from brain-inspired hardware. Applications range from computer vision for autonomous control to data processing in mobile and wearable devices.

                    Dendritic Learning Group (DLG)

                    Neuromorphic computing systems aim to follow the design principles of biological brains to achieve performant and energy-efficient computing, by emulating its architecture and algorithm. Broadly speaking, the architecture of the brain can be thought of as its layout, optimised through millions of years of evolution but mostly static throughout the life of an individual. The algorithm, on the other hand, encompasses how dynamic changes during development lead to a functional brain, capable of intelligent behaviours such as perceiving and interacting with dynamic environments.

                    Neuromorphic Navigation | Dr. Alpha Renner

                    The Cognitive Localization and Mapping (CLAM) project combines neuromorphic computing, computational neuroscience and neuroAI with a focus on navigation and memory formation inspired by the brain's navigation system.

                    Last Modified: 25.08.2026

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