In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

How should we measure the accuracy of predictions? If the weather forecast calls for a 10% chance of rain, and it rains, was that a bad forecast? How would you explain what a "good forecast" is to a ...

Researchers developed machine-learning models to predict visual acuity in patients with high myopia. A cohort study of 967 patients was used to evaluate the models. The results show that a regression ...

Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of declining oxygen levels in the ocean. Using data from Argo floats (pictured) ...

The powerful chemotherapy drug cisplatin has been used since the late 1970s to treat a variety of cancers. It's highly effective against solid tumors and is often a core element of treatment for ...