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

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

No. 3 Texas A&M volleyball swept No. 1 Pitt in three straight sets to punch a ticket to the national championship for the first time in program history. A packed T-Mobile Center energized the Aggies ...

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 ...

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 ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.

Jaguars quarterback Trevor Lawrence set a team record with six total touchdowns against the New York Jets. Lawrence became the first NFL player in history with five passing touchdowns, one rushing ...

ORLANDO ― Florida A&M football’s streak in the Florida Classic is over. The Rattlers lost to rivals the Bethune-Cookman Wildcats 38-34 on Saturday, Nov. 22, at Orlando’s Camping World Stadium. FAMU ...

Thank you for releasing the excellent RQ-VAE codebase. After reading both the paper and implementation, I noticed that the encoder outputs deterministic latent features and the training loss does not ...

VANCOUVER, British Columbia--(BUSINESS WIRE)--Variational AI, the company behind Enki™, an advanced foundation model for small molecule drug discovery, today ...

Merck & Co. has doubled down on its partnership with Variational AI, striking a deal worth up to $349 million to collaborate on small molecule candidates against two targets. Variational disclosed a ...

Abstract: Variational Autoencoder(VAE) combines the ideas of autoencoders and variational inference, introducing the concept of latent space and variational inference to endow autoencoders to generate ...