Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

A new academic study introduces a deep learning framework designed to detect subtle semantic differences between human- and AI-generated text. As AI-written ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

To address the challenge of controlling protein activation in living animals for gain-of-function studies, researchers from ...

A groundbreaking new study from computer vision startup Voxel51 suggests that the traditional data annotation model is about ...

Mistral's Codestral Embed will help make RAG use cases faster and find duplicate code segments using natural language.