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Huw’s already worked on an incredible collection of projects, despite being just 19. Previously, he made AI models that help self-driving cars detect where pedestrians are looking (in real time) to help prevent fatalities. Before that, he tried to predict weight loss using microbiome data. Before that, he was researching AI models that function with little data. Etc. Etc.
Applying deep-learning to noisy EEG signals to revolutionize brain-computer interfaces
Huw is applying deep-learning to noisy EEG signals. Many have tried to use EEGs to infer thoughts. From controlling drones to mind-reading words, the results have been somewhat lackluster. However, very little research has been done using new, novel deep learning techniques to properly sift through the dirty mud of EEG data. If Huw’s project works, it’ll revolutionize brain-computer interfaces. Cheap EEG sensors will become the new mouse.