This figure illustrates the automated classification and placement system that integrates a capillary force gripper with machine learning. The left panel shows the system configuration, in which a ...

A new machine learning process designed to identify and classify hip fractures has been shown to outperform human clinicians. Two convolutional neural networks (CNNs) were able to identify and ...

Professor Anna Panorska and her former master’s student David Kweku (Statistics and Data Science), along with an interdisciplinary and international team of researchers, recently authored an article ...

Please provide your email address to receive an email when new articles are posted on . Results showed an unsupervised machine learning model may be able to classify synovial fluid samples by ...

An automated pipeline of frequency representation and machine learning models on raw electronic health record (EHR) audit logs can classify work settings based on clinical work activities. Objectives: ...

A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. A new field promises ...

In the quest to decipher the evolutionary relationships of extinct organisms from fossils, researchers often face challenges in discerning key features from weathered fossils, or with prioritizing ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Devoted to faculty and students that are interested in developing new machine learning algorithms and techniques, and seek to deepen our understanding of existing ones. Machine learning provides the ...