This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
For further information about this project, please contact:
We are developing artificial brain-like networks that learn new information over time, inspired by how our own brains work. Unlike current artificial intelligence, which often “forgets” old knowledge when learning something new, our models use signals like those of brain chemicals to help them remember and adapt. These brain-inspired networks use electrical “spikes” to process information, just like real neurons. This research could help create smarter, more adaptable AI for applications such as robotics, healthcare, and autonomous vehicles, systems that need to learn continuously from new experiences without losing what they’ve already learned. By understanding and mimicking lifelong learning in the brain, we aim to build artificial intelligence that is both flexible and resilient.
As part of our research, we aim to make smarter, more adaptable AI for applications such as robotics, healthcare, and autonomous vehicles -- systems that need to learn continuously from new experiences without losing what they’ve already learned. We will be using Blender 4.4 and Python 3.11.