A generative AI framework rapidly designs optimized fuel cell catalyst layers that deliver significantly better performance ...
Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.
Researchers in Prof. Tong-Yi Zhang’s lab have introduced a spatial-adaptive active-learning workflow that significantly accelerates the search for highly durable OER catalysts, addressing one of the ...
Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...
Architecture Laboratory, Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan Background: Microwave Doppler sensors, capable of detecting minute physiological movements, ...
Microsoft has extended Entra’s powerful access control capabilities to on-premises applications — but you’ll need to rid your network of NTLM to take advantage of adding cloud features to your Active ...
Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...
Have you ever stared at a massive spreadsheet, overwhelmed by rows and columns of data, wondering how to make sense of it all? Imagine being able to instantly spot trends, outliers, or urgent tasks ...
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