Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce ...

Meta’s new SAM Audio AI model lets users isolate and edit sounds from mixed audio using text, visual or time prompts.

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

Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...

Replace the VAE algorithm in the paper《Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder》with the QBM-VAE algorithm, ...

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...

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 ...

Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community. Although it is still in development and a bit raw, Spar3D already delivers unprecedented ...

Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...

1 School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China 2 State Grid Henan Electric Power Company Information and Communication Branch, Zhengzhou, China Human ...

Disentangled variational autoencoder (D-VAE) separates materials properties from the latent space by conditioning to make inverse materials design more efficient and transparent. It combines labeled ...