Thorax

Comparative performance of endobronchial ultrasound-guided sampling techniques in patients with mediastinal lesions: a network meta-analysis

Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...
RMD Open

Therapist effects in real-world rehabilitation outcomes: a cohort study of the nationwide GLA:D osteoarthritis management programme in Denmark

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...
MIT Technology Review

The emergence of the web data infrastructure layer for AI

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

AI teaches asset traders not to sweat the small stuff

Financial markets are governed by a combination of rational and irrational forces, statistical probabilities and "animal ...
IEEE

Probabilistic Modeling of Train Operations for Uncertainty Quantification: A Context-Aware Bayesian Network Approach

Abstract: In this study, train operations were modeled by Bayesian networks (BN), to use the probability essence of the BN to quantify their uncertainty (e.g., the epistemic and aleatoric uncertainty ...
GitHub

CogAgent: An open-sourced VLM-based GUI Agent

🏆 June 2024: CogAgent was accepted by CVPR 2024 and recognized as a conference Highlight (top 3%). The CogAgent-9b-20241220 model has achieved state-of-the-art results across multiple platforms and ...
IEEE

Multi-Resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach

Abstract: The continuously growing size of deep neural networks (DNNs) has sparked a surge in research on model compression techniques. Among these techniques, multi-resolution model compression has ...