Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...
Abstract: In this study, we proposed a deep learning based virtual staining method for visualizing nucleus fluorescence, which utilized Conditional Generative Adversarial Networks (cGAN) to achieve ...
Kakao Mobility announced on the 15th that it has been selected as a passenger transportation operator for autonomous vehicles in Seoul and will begin ...
Abstract: Human action recognition(HAR) enables the detection and classification of human movements, supporting real-time applications such as surveillance, healthcare monitoring, gesture recognition, ...