science

Image feature embedding with a deep learning framework improves genome-wide association studies on dog endophenotypes

Extreme dominance of Earth-origin heavy ions in the intense ring current near the Earth during the May 2024 super geomagnetic storm In the present study, we aimed to integrate image-based phenotypic ...
SiliconANGLE

Google open-sources speedy DiffusionGemma text diffusion model

Google LLC today released DiffusionGemma, a large language model based on an emerging machine learning approach known as text diffusion. The company says the algorithm can generate text four times ...
IEEE

DeCoral: A Fast Low-to-High-Resolution Denoising Diffusion Feature Learning Architecture for Coral Reef Classification in Underwater IoT Systems

Abstract: Underwater image classification (UIC) within Internet of Things (IoT) systems faces significant challenges, such as color casting, turbidity, and blurring, which reduce image quality and ...
Frontiers

Dual contextual learning for semi-supervised medical image classification

Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image classification, addressing the critical challenge of limited labeled data in healthcare where expert annotation is ...
science

Steering semi-flexible molecular diffusion model for structure-based drug design with reinforcement learning

Current structure-based molecular generation faces a fundamental dilemma: While static ligand modeling dominates computational approaches, real-world molecular interactions are inherently dynamic.
devdiscourse

From crisis to control: AI flags cattle diseases before outbreaks explode

Livestock continues to play a major role in rural economies, particularly in regions where agriculture and animal husbandry are deeply interconnected. Diseases such as Lumpy Skin Disease (LSD) and ...
Scientific Research Publishing

Kermany, D.S., et al. (2018) Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell, 172, 1122-1131.e9.

ABSTRACT: Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for retinal disease diagnosis. However, manual interpretation of OCT images is time-consuming, ...
IEEE

A Diffusion Model and Few-Shot Learning Framework for EEG Abnormality Classification and Cerebral Infarction Assessment

Abstract: Deep learning has shown great potential in assisting medical experts in diagnosing cerebral infarction through electroencephalogram (EEG) analysis. Classifying EEG abnormality levels is a ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...
Hacker

How Reinforcement Learning and Stable Diffusion Are Being Combined to Simulate Game Worlds

The agent model is trained using PPO (Schulman et al., 2017), with a simple CNN as the feature network, following Mnih et al. (2015). It is trained on CPU using the Stable Baselines 3 infrastructure ...