CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific ...

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 ...

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...

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.

We showcase a novel unsupervised learning method with a Convolutional Variational Autoencoder (CVAE) model that can automatically classify and cluster different types ...

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 ...