Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying to predict ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

The human body constantly generates a variety of signals that can be measured from outside the body with wearable devices. These bio-signals—ranging from heart rate to sleep state and blood oxygen ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.