Tag: Machine Learning

A foundation model-based AI system called WeedNet identifies 1,593 weed species with 91.02 percent accuracy and reaches 97.38 percent accuracy ...

A pilot study from the University of Bern shows that computational fluid dynamics built from routine CT angiography and ultrasound ...

A machine learning-guided search has produced a tungsten bronze oxide ceramic that combines a high dielectric constant, ultralow loss and ...

A new framework called VR-FraudNet forces large language models to propose structured fraud explanations that a fixed deterministic verifier must ...

A new deep-learning method called VIMA converts tissue patches into numerical fingerprints and uses rigorous statistics to uncover disease-associated spatial ...

Researchers at KTH Royal Institute of Technology used multi-omics analysis and machine learning to uncover molecular features linked to aggressive ...

Researchers at Shanghai Polytechnic University have developed CDAFIM, a class-difficulty-aware incentive mechanism that uses Shapley values to fairly reward federated ...

A new meta-analysis of eleven studies finds that AI-driven analysis of routine contrast-enhanced CT scans can predict the Ki-67 proliferation ...

Researchers at Institute of Science Tokyo have developed ITCD, a two-stage diffusion model with trajectory constraints that fills missing values ...

An unsupervised machine learning analysis of 23 physical performance measures in 368 older adults identified three performance clusters that aligned ...

Researchers have built a phylogeny-agnostic machine-learning framework that predicts strain-level phage–host interactions from genome sequences alone and validated it experimentally ...

Researchers have unveiled byteification, a two-stage conversion method that retrofits existing subword-based large language models into byte-level models matching their ...

Researchers at the University of Tehran have shown that a training-free, ontology-guided label propagation method can enrich weak AudioSet annotations ...

A new probabilistic deep learning model called ResolVI corrects misassigned RNA molecules and batch effects in spatial transcriptomics data, sharpening ...

An interpretable AI platform that reads the retinal vasculature predicted preeclampsia and other hypertensive disorders of pregnancy months before clinical ...

Researchers trained XGBoost machine learning models on automated finite element simulations to predict how special threaded connections respond to combined ...

Researchers have trained convolutional neural networks on images from a modified 3D printer to automatically identify living, Rose Bengal-stained benthic ...

Researchers used machine learning-guided laser powder bed fusion to create a titanium alloy with sub-10-nanometre hetero-stacking bands that delivers record ...

Researchers at UPES Dehradun have combined CFD simulations with machine learning, including a physics-guided neural network, to rapidly optimize drone ...

A new PLOS Digital Health study shows that machine learning models trained on a 15-item questionnaire can screen adults for ...