MIT Technology Review

Shifting to AI model customization is an architectural imperative

As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.
Communications of the ACM

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

Urban trees are critically important to mitigate poor air quality, excessive heat islands, and unmoderated rainwater overflow ...
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 ...
Digital Trends

Microsoft AI debuts its Nano Banana rival, and it’s already a top text-to-image model

What’s happened? Microsoft AI has unveiled the slightly clunkily named MAI-Image-1, its in-house text-to-image system. The pitch is straightforward, generate useful pictures quickly, not flashy demos ...
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

Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification

Abstract: In recent years, self-supervised learning has made significant strides in hyperspectral image classification (HSIC). However, different approaches come with distinct strengths and ...