Anything produced by Google Gemini, for example, will have what’s called a SynthID watermark embedded somewhere in it. To ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Credit: VentureBeat made with Flux.2 [klein] on Fal.ai The German AI startup Black Forest Labs (BFL), founded by former ...
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
In a study published in Nature Biomedical Engineering, a team led by Prof. WANG Shanshan from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with Prof. ZHANG ...
Abstract: Transfer learning is commonly employed to leverage large, pre-trained models and perform fine-tuning for down-stream tasks. The most prevalent pre-trained models are initially trained using ...
A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback