Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

The proposed multitask learning (MTL) model was developed using data from wearable devices worn by individuals in a randomized controlled trial (RCT) to predict outcomes of a depression treatment.

Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While cognitive impairment and structural brain changes are indicative of ...