Archive for February, 2020

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New industry collaboration with ROSEN: “From the lab into the wild – neuro-inspired AI for efficient inspections of energy assets”

Happy to announce a new and exciting collaborative effort between the Kietzmann lab at Radboud AI and the ROSEN group. Energy asset inspection shares many aspects with problems that the brain faces: Indirect measurements, sparse ground truth data, large volumes of data with few relevant events and strong energy constraints. Together with the ROSEN group, we aim to develop and test neuro-inspired AI systems that take inspiration from neuroscience to address these issues. Energy asset inspections face several key challenges that are ... Read more