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

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

This innovation allows the model to synthesize images without changing the hardware architecture; it merely needs to reconstruct the diffraction decoder to a new optimized ... which are widely used ...

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

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 ...

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

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 ...

A new tool to understand how people imagine differently when reading has potential implications for treating mental health issues. The post Scientists decode secret of book lovers’ minds ...