Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.

Abstract: Generative Adversarial Networks (GAN) involve the competition between a generator and a discriminator. The large variance of training data can bring difficulty to GAN resulting in mode ...

Inspired in part by the classical locally most powerful (LMP) test in statistical inferences, the proposed LMP-GAN trains the OOD detector (discriminator) by generating OOD samples that are aimed at ...

Figure 1. The architecture of the original GAN. Conversely, if the input is synthetic data, the discriminator should classify it as false data and return a value close to 0. The false signal output ...

GANs consist of two neural networks - a generator and a discriminator - engaged in a continuous learning ... Additionally, the study introduced GAN-Econ, a novel GAN-based architecture tailored for ...

Additionally, we describe several implementation details that are important for discouraging unhealthy competition between the generator and discriminator. Finally, we suggest a new metric for ...

With the transition from silicon transistors to gallium nitride (GaN) transistors, chargers have become smaller, more efficient, safer, and run cooler. This advancement in technology has ...