About six months after coming out of stealth with $50 million in funding, Latent Labs has released a web-based AI model for ...

How proteins in our cells attain their correct three-dimensional structure is crucial to their function—and to our health. Errors in this process can lead to serious diseases. Researchers at the ...

AUTOVC is a voice-conversion method that performs self-reconstruction using an autoencoder structure for zero-shot voice conversion. AUTOVC has the advantage of being easy and simple to learn because ...

When people think of DNA, they usually think of genes, the parts that code for proteins and drive inherited traits. But there ...

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides.. If you have the appropriate software installed, you can download article citation data ...

Reconstruction loss and KL divergence were used to detect abnormal behavior, and Particle Swarm Optimization (PSO) was applied to optimize the deep autoencoder structure. Yao et al. [51] proposed ...

AETHER-Research is a research initiative focused on the fundamental principles and diverse applications of AutoEncoders (AEs). We investigate the theoretical underpinnings of AE models and develop ...

The specific structure of the convolutional autoencoder in this paper is shown in Figure 1: the encoder consists of two convolutional layers, a batch layer, and a Leaky ReLU activation function, while ...