Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

A research team developed the Point-Line Net, a deep learning method based on the Mask R-CNN framework, to automatically recognize maize field images and determine the number and growth trajectory of ...

A research team has developed an innovative automated method, SSP-MambaNet, designed to address the challenge of identifying and counting missing virus-free strawberry seedlings in nutrient pots ...

Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently ...

Initial international shipments demonstrate expanding commercial applications of advanced sensor for use in agronomy and researchWICHITA, Kan., ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in ...

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...