Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Light in the forest: Computer simulations show increased tree diversity from competition for canopy light

If a tree falls in the forest, it can create an opening for more incoming light, and that makes a significant impact on the surrounding environment, according to new research. An international science ...

Oregon State University researchers use AI to predict freshwater fish species at risk of endangerment

Researchers at Oregon State University are using a tool to predict freshwater fish species at risk of endangerment, hoping to ...
IEEE

Integrating Random Forest With Boundary Enhancement for Mapping Crop Planting Structure at the Parcel Level From Remote Sensing Images

Abstract: Accurately and efficiently obtaining crop planting structure information is critical for precision agriculture. However, the current methods for mapping crop planting structure primarily use ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...