Tropical cyclones are among the deadliest natural disasters, and the most expensive to recover from. Accurately predicting their tracks and intensities can improve early warning systems, thereby ...

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...

Abstract: This paper introduces Q-learning with gradient target tracking, a novel reinforcement learning framework that provides a learned continuous target update mechanism as an alternative to the ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: 🔥 We released a free interactive demo ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Major challenges in toxicity prediction include dealing with imbalanced and limited ...

ABSTRACT: Large models perform better than traditional deep learning methods in terms of generalization and continuous learning capabilities, but the application of large models in vertical fields ...