Nanowerk

CatDRX: a novel AI model for discovery of chemical catalysts

Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...
Mirage News

CatDRX: AI Model Revolutionizes Catalyst Discovery

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

Automatically Inverse Design of FSSs by Conditional Variational Autoencoder and Equivalent Circuit Models With Large Language Models

Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
IEEE

Effect of Integrating Variational Autoencoder with SENet on Dimensionality Reduction in Driving Behavior Learning

Abstract: Dimensionality reduction using Variational Autoencoder (VAE) is widely employed in learning diverse state representations, such as in autonomous driving tasks. Conventional VAE-based ...
GitHub

MAESTRO: Masked Autoencoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data

MAESTRO_FLAIR-HUB_base — pre-trained on FLAIR-HUB MAESTRO_S2-NAIP-urban_base — pre-trained on S2-NAIP-urban Land cover segmentation in France, with 12 semantic classes. Note that the FLAIR#2 version ...