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

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

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

Researchers at Imperial College London developed an AI-driven framework that combines wearable health data with real-time ...

Novel update laws with convergence analysis are formulated based on the mathematical representation of each layer in convolutional neural networks. The proposed learning laws enable concurrent updates ...

such as masked autoencoder (MAE) reconstruction and contrastive learning, offer a promising solution by reducing reliance on labeled data. Nonetheless, transformer-based MAEs are computationally ...