Meta’s New Open-Source SAM Audio AI Model Can Isolate Sounds From Audio Mixtures

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

AI Maps Heat Inside Steelmaking’s Critical Sintering Process Beds

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

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

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 ...
IEEE

Prior Distribution Guided Gaussian Mixture Variational Autoencoder (PDGM-VAE) for Image Generation

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 ...
voxelmatters

Sparc3D introduces next-gen high-resolution 3D model generation

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 ...
GitHub

how to config vae

Traceback (most recent call last): File "/data1/wanlyoung/BAGEL/train/pretrain_unified_navit.py", line 702, in <module> main() File "/data1/wanlyoung/BAGEL/train ...
Scientific Research Publishing

Variational Auto-Encoder and Speeded-Up Robust Features Hybrid Model for Anomaly Detection and Localization in Video Sequence with Scale Variation ()

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 ...
Frontiers

Latent space improved masked reconstruction model for human skeleton-based action recognition

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 ...
EurekAlert!

New AI method makes materials design more efficient and transparent

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 ...