Japanese researchers trained a 3D Vision Transformer foundation model on postmortem CT scans of nearly 1,500 femora, achieving over 90...

Researchers have developed a Tuned Efficient Convolutional Neural Network framework that combines adaptive contrast enhancement, total variation denoising, depth estimation...

Researchers have developed GRaFiT, an image-text classification framework that dynamically reroutes fusion at the token, branch, and view levels to...

A systematic review of 180 publications argues that AI tools are reorganizing visibility and authority in art history, producing an...

Researchers in China have developed MSEA, a CLIP-based framework that combines multi-scale convolutions and efficient linear attention to achieve record...

The 2026 MRS International Risk Conference in Honolulu brought together over 300 scholars to examine artificial intelligence and climate risk...

Researchers in China have developed MAF-Net, a multi-scale attention fusion network that achieves a record Dice score of 85.47 percent...

Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about...

Researchers in Greece have developed a two-stage framework combining kinematic-aware AIS data preprocessing with a bidirectional recurrent network to predict...

A scientometric analysis of 4,269 publications charts how sentiment analysis evolved from lexicon-based polarity detection to aspect-based, multimodal, foundation-model-driven sentiment...