UK cost of the mental health disorder PTSD is likely to top £40 billion, but the figures are based on 2020–1 prevalence rates ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

A study has expanded the earthquake record for the Yellowstone Caldera by 10 times to include 86,276 events from 2008 to 2022 ...

Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in ...

The suggested antenna makes it easier to create dynamic radiation patterns that may be utilized to reconfigure the coverage area as required in accordance with the spatial-temporal user and traffic ...

Keywords: Parkinson’s disease, speech analysis, machine learning, non-invasive, early detection Citation: Xu H, Xie W, Pang M, Li Y, Jin L, Huang F and Shao X (2025) Non-invasive detection of ...

Machine-learning algorithms were inconsistent in their abilities to identify clusters with significant HTE. Protein biomarkers were essential in identifying clusters with HTE. Investigations using ...

For machine learning, a large number of data sets are required, as captured around 200 photos of each modal frequency and around 3000 photos with a camera of all 14 Chladni patterns for supervised ...

Both systems do have patterns to their behavior, but behave chaotically, and hence have been tough to model. But if advances in machine learning open new doors to model the patterns in these systems, ...