Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.

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

Deepfakes use two main algorithms: the generator and the discriminator. The generator is responsible for producing initial digital content by shaping training data based on the expected output, while ...

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 ...

Orin also includes dedicated Deep Learning Accelerators (NVDLA) for steady, power-efficient inference, keeping the GPU free ...

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 ...

Text mining has emerged as a powerful strategy for extracting domain knowledge structure from large amounts of text data. To date, most text mining methods are restricted to specific literature ...