AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

However, these must have skin contact and are typically worn on the finger. Pulse-Fi works remotely, allowing you to monitor ...

Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, ...

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

In recent years, machine learning has revolutionized the study of glacier erosion rates, providing valuable insights into ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ...

Machine learning is not new. We have witnessed it since the 1990s, when Amazon introduced a new "recommended for you" section for its users to display more personalized results. When we search for ...

Machine learning (ML) algorithms that incorporate routinely collected patient-reported outcomes (PROs) alongside electronic health record (EHR) variables may improve prediction of short-term mortality ...

Meta-Learning This is a less popular type of machine learning algorithm, but in many ways, it is both the easiest to understand and the most powerful.

Machine Learning algorithms are ubiquitous, but what is the relationship between our mind and a machine learning algorithm? How can we leverage science to create the change we want to see? The ...