AI and Smart Sensors Are Rewriting the Rules of Crop Pest Detection
A new review synthesises how artificial intelligence, deep learning, and Internet of Things architectures are transforming automated crop pest detection ...
A new review synthesises how artificial intelligence, deep learning, and Internet of Things architectures are transforming automated crop pest detection ...
A random forest analysis of 260 Filipino first-year college students found that eight demographic variables explained almost none of the ...
Researchers in China have unveiled SpecMamba-Net, a dual-branch Mamba-based AI that fuses frequency-domain texture cues with linear-complexity global state-space modeling ...
Researchers in China have developed a neighbor-constrained attention framework that improves how artificial intelligence classifies gigapixel whole-slide pathology images by ...
Researchers at UC Berkeley used active learning and a model called ADhunter to discover and characterize nearly 10,000 transcriptional activator ...
A feasibility study on Italy's Po Delta combined bridge cameras, drones, satellites, ship sampling and hydrodynamic modelling to track plastic ...
A new framework called FuseDepth fuses frozen detection, matting and surface-normal models with an adapted Depth Anything backbone to achieve ...
A new study finds that random forest models outperform neural networks in predicting arsenic contamination across Ghana's Pra, Ankobra, and ...
Researchers have introduced Neural Probabilistic Circuits, an AI architecture that pairs neural attribute recognition with probabilistic circuits to deliver image ...
Researchers at IIT Jodhpur have built a retrieval-augmented AI framework and a massive new dataset, FactViz3M, that can locate the ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine