A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...

1 Department of Music, College of Arts Media and Design, Northeastern University, Boston, MA, United States 2 Data Science and AI Division, Computer Science and Engineering Department, Chalmers ...

Experts say the more we challenge our brains as we age, the more resilient it becomes—and “learning a new instrument is a full-brain workout.” After the age of 40, the average brain decreases 5 ...

In the summer of 2024, Lacy Beane woke up in the ICU at Johns Hopkins Hospital. The 32-year-old had been in a coma for weeks, slowly recovering after a severe case of sepsis had led to multisystem ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...