GitHub

MODE: Mixture of Document Experts for RAG

MODE (Mixture of Document Experts) is an advanced framework that improves Retrieval-Augmented Generation (RAG) by integrating external knowledge retrieval with a mixture of specialized expert models.
IEEE

An Unsupervised Correlation Learning-Based Clustering Model for Multiple Complex Lesions Evaluation

Lesion morphology and quantity evaluation in computer tomography (CT) images are critical for precise disease diagnosis. Most existing methods employ machine learning-based methods to separately ...
GitHub

A real-time demonstration of learning Adaptable World Models with Latent Actions using the Agno framework.

The development of this repository was inspired by the paper "AdaWorld: Learning Adaptable World Models with Latent Actions". To read the entire paper, visit https ...
Reuters

Exclusive: China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says

WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's (NVDA.O), opens new tab most advanced AI chip, the ...
IEEE

Measurement-Driven Cluster Power Generation Method for A Hybrid A2G Channel Model

Abstract: Drones are expected to be promising aerial platforms in air-to-ground (A2G) integrated communication networks, where the A2G propagation channel is fundamental for reliable communication ...