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 ...

When training CNN models for image classification, it is required to prepare sufficient training data taken in various conditions. However, traditional data augmentation methods are limited to ...

The artificial intelligence (AI) market is expanding. Statista has calculated that the number of AI tool users will increase ...

TI's TMS320F28P550SJ MCU with an integrated neural processing unit is designed to run CNN models to help reduce latency and ...

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 ...

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

Chinese AI lab DeepSeek released an updated version of its R1 reasoning model that performs well on a number of math and ...

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

FLUX.1 Kontext from Black Forest Labs aims to let users edit images multiple times through both text and reference images without losing speed.