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New machine-learning algorithm could identify cardiovascular risk at the click of a button
An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...
Scientific Research Publishing5d
Research on Fault Detection and Classification of Industrial Equipment Based on Machine Learning ()
Industrial Equipment Fault Detection, Fault Diagnosis, Support Vector Machine, Decision Tree CART, Random Forest Share and Cite: Cai, G. (2025) Research on Fault Detection and Classification of ...
Scientists Have Created a Periodic Table for AI
MIT researchers found that different algorithms can all be grouped into a ‘periodic table’ of AI. The idea for the table was ...
Light signature algorithm offers precise insight on viral proteins, brain disease markers and semiconductors
Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...
Tech Xplore on MSN5d
AI model based on neural oscillations delivers stable, efficient long-sequence predictions
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...
Technology Networks4d
Light-Based Data Made Clearer With New Machine Learning Method
A new machine learning algorithm excels at interpreting optical spectroscopy data of molecules, materials and disease ...
optics.org2d
Rice University algorithm interprets spectra more accurately
The Rice University solution is termed Peak-Sensitive Elastic-net Logistic Regression, or PSE-LR, a method tailored for ...
European Medical Journal5d
Machine Learning Shows Impressive Bone Tumour Diagnosis Accuracy
MACHINE learning could reshape how clinicians assess focal bone lesions, offering a more consistent and data-driven ...
Science Daily4d
New machine algorithm could identify cardiovascular risk at the click of a button
An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.
EurekAlert!6d
Expert-guided machine learning breakthrough enhances fault diagnosis in operating particle accelerator superconducting RF cavities
Chinese Academy of Sciences (CAS), has developed a machine learning (ML) model enhanced with expert knowledge to classify ...
AZoSensors on MSN1d
New MEMS Sensor Uses Pulsed Heating and Machine Learning to Identify Gases with Precision—All from a Single Sensing Element
This study presents a compact MEMS gas sensor that combines pulsed heating with machine learning, achieving high selectivity ...
Medical Xpress5d
New machine-learning algorithm could identify cardiovascular risk at the click of a button
An automated machine-learning program developed by researchers ... bone density scans taken during routine clinical testing. The algorithm shortens the timeframe to screen for AAC significantly ...