Researchers present a new generative AI model that can simultaneously design catalyst structures and predict their performance under specific reaction conditions. CatDRX is a generative AI framework ...

This project explores the inverse design of materials using a Conditional Variational Autoencoder (CVAE) framework trained on a curated dataset of Refractory High-Entropy Alloys (RHEAs). By leveraging ...

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.

Architecture Laboratory, Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan Background: Microwave Doppler sensors, capable of detecting minute physiological movements, ...

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 ...

While sparking excitement among biopharma companies focused on rare and ultrarare indications, experts say FDA Commissioner Marty Makary’s proposal is light on details and raises potential concerns ...

Forbes contributors publish independent expert analyses and insights. Greg Licholai writes and teaches about innovation in healthcare. In a move that could dramatically reshape the landscape for rare ...