As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

Abstract: In the context of intelligent transportation systems (ITS), accurate thermal infrared image colorization plays a vital role in improving visual interpretation of traffic scenes, facilitating ...

Hello, can you share the reward graphs for FLUX LoRA fine-tuning? I have seen the graphs for full fine-tuning on 16 and 8 GPUs, but couldn't find the graph for LoRA fine-tuning. When I ran the scripts ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Google’s Gary Illyes answered questions during the recent Search Central Live Deep Dive in Asia about whether or not they use the new Multi‑Vector Retrieval via Fixed‑Dimensional Encodings (MUVERA) ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

Startup RelationalAI Inc. today introduced new features for its software that will enable companies to analyze their data more efficiently. The capabilities debuted at the annual Snowflake Summit in ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

Google's latest shopping feature makes Cher Horowitz’s computerized closet a reality. The new virtual try-on tool within its "AI Mode" search option lets users see how outfits look on photos of ...