Ophthalmology Advisor

Retinal Detachment Diagnosis Strong Using Deep Learning-Powered Fundus Images

Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

A supercomputer beat a human chess champ 30 years ago, paving a path for AI dominance

In 1996, IBM's Deep Blue faced off against Garry Kasparov, the greatest chess mind on Earth — and changed history.
PharmExec

The Next Generation of Trial Designs: Supplementing Trials with Real-World Data

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Machine learning accelerates plasma mirror design for high-power lasers

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...
IEEE

ABMF-Net: An Attentive Bayesian Multi-Stage Deep Learning Model for Robust Forecasting of Electricity Price and Demand

Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...
Frontiers

Trustworthy navigation with variational policy in deep reinforcement learning

1 Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, United States 2 Department of Electrical and Computer Engineering, The University of Texas Rio Grande ...
Frontiers

Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Scientific Research Publishing

Wang, Y., Polson, N. and Sokolov, V.O. (2023) Data Augmentation for Bayesian Deep Learning. arXiv: 1903.09668.

ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...