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Antonyms that are in the dictionary are marked in green. Antonyms that are not in the dictionary are marked in red.
According to IBM, this approach has the potential to minimise the amount of data cleaning and labelling needed to train a typical deep-learning model, and it could speed up geographical analysis by a factor of three to four.
Using deep-learning techniques, the researchers automated the measurement of sphericity, finding that increased sphericity appeared to be linked to future heart troubles.