Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...
Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to ...
However, experimental screening of drug combinations is very slow and expensive, and therefore, often fails to discover the full benefits of combination therapy. With the help of a new machine ...
DURHAM, N.C. – A machine learning model developed by Duke Health researchers can differentiate normal cognition from mild cognitive impairment using retinal images from the eye. The model analyzes ...
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.
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after ...
"It's an arms race to be able to consume the right kind of data in the right kind of way to be able to make the right ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
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