A research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, ...

This innovation allows the model to synthesize images without changing the hardware architecture; it merely needs to reconstruct the diffraction decoder ... deep learning. The core idea of the optical ...

In a major leap for artificial intelligence (AI) and photonics, researchers at the University of California, Los Angeles ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Recently, at the RoboTwin dual-arm robot competition held during the prestigious CVPR 2025 conference in the field of computer vision and pattern recognition, the H-RDT (Human to Robotics Diffusion ...