Machine Learning Spots Broken Circuit Parts With 98.5% Accuracy
Researchers developed a two-stage random forest framework that classifies faults in Sallen–Key and Chebyshev analog filter circuits with about 98.5% ...
Tag: Machine Learning
Adaptive AI Framework Sharpens Intrusion Detection in Imbalanced Network Traffic
Researchers at VIT University propose AFI-ID, an intrusion detection framework that unifies adaptive feature selection with attention-based ensemble fusion, achieving ...
Diffusion Model Powers New End-to-End AI System That Generates Music in Seconds
Chinese researchers have built an end-to-end AI music generation system based on a diffusion probabilistic model that produces 30-second stereo ...
One EEG Electrode May Be Enough to Detect VR Motion Sickness
Researchers used SHAP-based explainable AI to identify a single EEG electrode and just seven features that detect virtual reality motion ...
AI Reads Ultrasound Images to Track Gout Tophi Automatically
For millions of people living with gout, the painful reality of the disease is written in lumps of crystallized uric ...
Machine Learning-Designed Peptide CIT8 Wipes Out Carbapenem-Resistant Superbug in Minutes
A machine learning-optimized 13-residue peptide derived from frog skin rapidly kills carbapenem-resistant Acinetobacter baumannii, dismantles biofilms, and boosts meropenem's bactericidal ...
Marble Waste and Machine Learning Team Up to Reinvent Road Pavement Grout
A machine learning study shows that waste marble dust can replace up to 32 percent of the cement in semi-flexible ...
New AI network reads tuberculosis genomes and audits its own evidence for drug resistance
A dual-pathway deep learning model from Algiers predicts tuberculosis drug resistance with over 95 percent accuracy while auditing sequencing quality ...
AI Model Combines DBT and Ultrasound Radiomics to Distinguish Benign from Malignant Breast Lesions
Every year, millions of women undergo breast imaging that reveals a finding of uncertain significance—a shadow on a mammogram, a ...
AI Ensemble Learns to Predict Rice Yields With Stunning Accuracy
Researchers at the University of Gondar report that a voting ensemble of tree-based machine learning models combined with permutation-based feature ...
AI Flags Stressed and Struggling Students Before They Drop Out
Researchers at Amrita Vishwa Vidyapeetham built an explainable machine learning framework that predicts student dropout risk from academic, financial, health, ...
AI Reads Routine CT Scans to Predict Bladder Cancer HER2 Status Without a Biopsy
A machine learning model applied to routine CT urography scans can non-invasively predict HER2 status in bladder cancer, potentially guiding ...
Antibody Patterns Reveal Inflammatory Bowel Disease Years Before Symptoms Appear
A large-scale serology study presented at UEG Week 2026 found distinct antibody signatures up to ten years before an inflammatory ...
AI Transformer Spots the Difference Between Two Spine Infections Doctors Keep Mixing Up
A multicenter study shows a 2.5D Transformer-based AI framework combining clinical data, MRI radiomics and deep learning can reliably distinguish ...
Fractal Math Meets Mammography: Simple AI Hits 98.7% Accuracy in Breast Cancer Detection
A new stochastic fractal search-based framework pairs nature-inspired optimization with a lightweight k-nearest neighbor classifier to classify mammographic lesions with ...
AI Ensemble Reads Soil Chemistry to Identify Crop Types With Record Accuracy
A new architecture-diverse TabNet ensemble classifies seven crop types from harmonized multi-source soil data with 90.5 percent accuracy, outperforming XGBoost ...
AI Reads Lung CT Scans to Predict Drug Resistance Before Treatment Begins
A Chinese research team combined delta-radiomics from CT scans with clinical data and SHAP-based machine learning interpretation to predict the ...
AI Reads Liver Scans to Predict Which Colorectal Cancer Patients Will Respond to Chemotherapy
Researchers in China have developed an interpretable machine learning model that analyzes all liver metastases on contrast-enhanced CT scans to ...
Two-Hidden-Layer Neural Network Tackles Nonlinear Anthrax Epidemic Model in Animals
Researchers have trained a two-hidden-layer neural network with Levenberg–Marquardt backpropagation to accurately approximate the trajectories of a nonlinear mathematical model ...
Habitat Imaging Analysis Shows Promise for Head and Neck Cancer Care, Systematic Review Finds
A systematic review of 25 studies finds that habitat imaging analysis reliably predicts pathological biomarkers, tumour characterisation and nodal status ...
