Apple AI research shows how MLLMs understand, generate, search for images

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
IEEE

DE-Unet: Dual-Encoder U-Net for Ultra-High Resolution Remote Sensing Image Segmentation

Abstract: In recent years, there has been a growing demand for remote sensing image semantic segmentation in various applications. The key to semantic segmentation lies in the ability to globally ...
marktechpost

Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...
IEEE

SDNet: Sandwich Decoder Network for Waterbody Segmentation in Remote Sensing Imagery

Abstract: Waterbody extraction is essential for monitoring surface changes and supporting disaster response. However, differences in morphology, dimensions, and spectral reflectance make it ...
blockchain

UC San Diego Leverages NVIDIA DGX B200 for Advanced AI Research

The Hao AI Lab at UC San Diego utilizes NVIDIA's DGX B200 system to enhance research in large language models, fostering innovation in AI inference and application. The University of California San ...