Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...

A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...