DIGITIMES

Apple develops DarkDiff AI to enhance low-light photography with generative diffusion models

Apple Inc. has unveiled an AI imaging technology called DarkDiff, designed to improve photo clarity in low-light conditions ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Lemon Slice nabs $10.5M from YC and Matrix to build out its digital avatar tech

Digital avatar generation company Lemon Slice is working to add a video layer to AI chatbots with a new diffusion model that ...
Digital Trends

Google clarifies Gmail’s Smart Features don’t use your data to train the Gemini AI model

What’s happened? After the X user @eevblog shared alleged screenshots of Google automatically opting everyone in to let Gmail access their messages and attachments, Gmail issued a public statement ...
Scientific Research Publishing

Study of Methods for Automatic Segmentation of Geological Profile Images Based on Diffusion Models ()

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...
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 ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
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 ...
Frontiers

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

1 Department of ophthalmology, JiuJiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People’s Hospital, JiuJiang, Jiangxi, China 2 Department of Otolaryngology, The Seventh Affiliated Hospital, ...
IEEE

Diffusion-Augmented Cross-Domain Prototypical Knowledge Distillation for Few-Shot Learning in Hyperspectral Image Classification

Abstract: Cross-domain few-shot learning (CDFSL) has demonstrated remarkable new class recognition capabilities in hyperspectral image classification (HSIC) tasks. However, existing domain adaptation ...