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“Use of NeSI was central to our software development. We don’t know how big models will get in the future, so we wanted to make this as scalable as possible."
"Our goal is to create a piece of software that is capable of automatically analysing hundreds of thousands of pupil-tracked coordinates. This would allow a clinician to interpret the results and guide clinical decision making in real-world practice."
"We're looking at how we can further automate those processes to make them more efficient so they can be run more frequently, for example to keep up with the rate that satellite imagery is now being produced."