Machine learning reveals vast, untapped phosphorus efficiency gains in global cereal croplands
A new machine learning study in Nature Food maps global phosphorus use efficiency in maize, rice and wheat at roughly ...
Tag: Machine learning
Graph-Based AI Finds Hidden Copper and Nickel Deposits with Almost No Training Data
A new label-scarce graph AI framework reliably detects deep, subtle mineralization anomalies at the Kalatongke copper-nickel deposit using only 906 ...
New Framework Tunes Social Performance Indexes Directly From Training Data
A new statistical framework extracts standardized gain scores from reference training data to quantify and compare the social performance of ...
Graphene and Iron Particle Skin Gives Robots a Human-Like Sense of Touch
Researchers have created a flexible capacitive pressure sensor from a carbonyl iron particle and multilayer graphene composite that lets a ...
AI Brain Age Clock Trained on Death Risk Predicts Dementia Differently in Men and Women
A new study shows that an AI brain age model trained on mortality risk from MRI scans mediates how health ...
Hyperspectral Camera and AI Map Hidden Microplastics in Sand Without Sampling
Researchers have combined near-infrared hyperspectral imaging with a self-organizing map neural network to identify and semi-quantitatively map microplastic contamination on ...
AI Clustering of Raw Eye-Tracking Data Reveals How Young Drivers Scan the Road
Researchers have developed a scalable machine learning method that uses time-series clustering to automatically identify visual search strategies from raw ...
Dual-Layer Knowledge Graph Catches Corporate Financial Fraud With 94 Percent Accuracy
A new dual-layer knowledge graph model detects corporate financial fraud with up to 94.2 percent accuracy while providing auditors with ...
AI Models Track 25 Years of Toxic Metals in Moroccan River Sediments
A 25-year monitoring record and machine learning forecasts reveal shifting heavy metal contamination in Moroccan Mediterranean river sediments, with lead ...
AI Reads the Electrical Rhythm of Labor to Estimate Cervical Dilation Without Invasive Exams
A machine-learning proof-of-concept study shows that abdominal electrohysterography combined with maternal data can moderately estimate cervical dilation during model development, ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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