Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...

Qwen and DeepSeek AI are competitive alternatives. However, each model has advantages and limitations. Features have been compared here!

For instance, the Joint Feature Synthesis and Embedding (JFSE) method leverages GANs to synthesize meaningful multimodal ... learning methods are also gaining traction in CMR. For example, Self ...

Abstract: Deep learning (DL) methods have recently made substantial advances in polarimetric synthetic aperture radar (PolSAR) image classification. However, supervised training ... data are ...

Next, we summarise existing literature on the topic of foundation models in ophthalmology, encompassing progress in vision foundation models, large language models and large multimodal ... deep ...

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...

from small-scale applications such as contrastive learning for embedding cells and identifying cell subpopulations to large-scale foundation models trained on massive datasets. These models often use ...

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation ...

Yet, the majority of works on the topic rely on training NNs on synthetic data via a supervised learning strategy, often encountering generalization issues on real data. To address this problem, we ...

A comprehesive survey about foundation models for weather and cliamte data understanding.