A material that can switch its appearance, cephalopod-style, could have future applications in robotics or display technology ...

Nvidia has released a slew of new AI models and technology, all designed to help businesses create the next generation of ...

Researchers Matthew Golub, Belle Liu, and Jacob Sacks at the Paul G. Allen School for Computer Science & Engineering, have ...

While there were important chip and AI platform announcements on the first day of CES 2026, all audiences wanted to see more ...

Artificial intelligence was anchored in nearly everything as tech firms continue to look for AI products that will attract ...

As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are ...

Abstract: Ground penetrating radar (GPR) plays a crucial role in subsurface imaging, but its utility is often constrained by issues such as noise and data incompleteness. To overcome these limitations ...

A scalable pipeline for composing high-quality synthetic object segments into richly annotated images for object detection, instance segmentation, and visual grounding. High-resolution images with ...

Framework to easily generate complex synthetic data pipelines by visualizing and configuring the pipeline as a computational graph. LangGraph is used as the underlying graph configuration/execution ...

Developing AI systems that operate effectively across languages while remaining culturally grounded is a long-standing challenge, particularly in low-resource settings. Synthetic data provides a ...

Abstract: Given the growing significance of data-driven approaches in analysis and decision-making in smart grid, the availability of diverse and representative datasets is paramount. However, ...