Oregon State University researchers have built an AI-enabled smart compost bin that automatically weighs, images, and labels household food waste...

Researchers have combined convolutional neural networks and vision transformers with a three-loss training strategy to significantly improve content-based image retrieval...

Researchers have developed a style-aware attention transformer that recognizes fine-grained interior design styles by focusing on textures, materials, and color...

Researchers in Maharashtra trained a three-layer deep neural network on pollutant data from Solapur's municipal monitoring station, achieving an R-squared...

KAIST researchers combined physics-based preprocessing with a FiLM-conditioned convolutional neural network to classify weld defects in phased-array ultrasonic testing, reaching...

Researchers have combined back-stepping control with an adaptive radial basis function neural network to achieve fast, stable formation tracking for...

A new deep learning framework called pLM-HP combines the ESM2 protein language model with a BiLSTM network to predict peptide...

A new multiscale heterogeneous graph transformer called HierHGT-DTI achieves large gains in cold-start drug-target interaction prediction, especially for protein targets...

Researchers have compiled superplasticity data for nanostructured and ultrafine-grained high-entropy alloys and shown that machine learning models can predict which...

A new evidence map of 126 studies shows artificial intelligence can accelerate PFAS toxicology and risk assessment, but only when...