Unite.AI

How to Build Reliable RAG: A Deep Dive into 7 Failure Points and Evaluation Frameworks

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...

Halide electrolytes power the next generation of batteries

Solid-state lithium batteries are widely regarded as the future of safe and high-energy energy storage systems, yet their development depends critically on advanced electrolyte materials. Recent ...
Communications of the ACM

Where Are the City Trees? Monitoring Urban Trees across the U.S. Using Generative AI

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...
The Verge

Google’s Nano Banana AI image model goes Pro and is free to try

The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...
VentureBeat

NYU’s new AI architecture makes high-quality image generation faster and cheaper

Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
IEEE

Scattering Mechanism Inspired Non-Gaussian Diffusion Model for Polarimetric SAR Image Classification

Abstract: The diffusion model has achieved excellent performance in natural image processing, which can learn the noise distribution through the degradation and restoration processes. However, the ...
IEEE

Self-Supervised Learning of Contrast-Diffusion Models for Land Cover Classification in SAR Images

Abstract: Deep learning (DL) methods have been widely applied to synthetic aperture radar (SAR) land cover classification. The complexity of SAR data and the limited availability of labeled samples ...