Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Frontiers

Computational Methods and Data-Driven Approaches in Cardiovascular Modeling

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...
The Daily Yonder

We Mapped Rural Data Center Development – and Opposition. Here’s What We Found.

Washington, D.C.’s metropolitan area has long hummed with data centers. The region, which encompasses much of Northern Virginia, has become known as Data ...
Communications of the ACM

Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark

Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...

Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
BMJ

2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups

13 National Institute of Health Research Manchester Musculoskeletal Biomedical Research Unit, Central Manchester University Hospitals NHS Foundation Trust, University of Manchester, Manchester, UK 14 ...
Morning Overview on MSN

Engineers keep cracking open Egyptian stone and finding precision they cannot explain

A peer-reviewed study published in npj Heritage Science has applied whole-object metrology to ancient Egyptian stone vessels ...

Arizona astronomers use AI to unlock new secrets of meteors

Astronomers at the Lowell Observatory in Flagstaff are using an innovative AI technique to revolutionize how meteors are ...

Here's how AI could help astronomers unlock new secrets about meteors

Astronomers in Arizona turned to artificial intelligence to test out a new method of classifying meteors based on their ...
IEEE

Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout

Abstract: When facing a classification problem, data science practitioners must search through an armory of methods. Often, practitioners are tempted to use off-the-shelf classifiers, including ...
IEEE

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy

Abstract: Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process to provide situation-aware data-driven ...
BMJ

Clinical classification criteria for knee osteoarthritis: performance in the general population and primary care

Primary Care Sciences Research Centre, Keele University, Keele, Staffordshire, UK Correspondence to: G Peat Primary Care Sciences Research Centre, Keele University ...