a GAN trains two neural networks that compete against each other. They include a generator model and a discriminator model that together help generate new synthetic data.

Not long ago, robotic voices were unmistakable—flat, emotionless, and sometimes even unsettling. But thanks to rapid ...

Neural networks have gone mainstream with a lot of heavy-duty — and heavy-weight — tools and libraries. What if you want to fit a network into a little computer? There’s tinn — the tiny ...

How can we characterize the dynamics of neural networks with recurrent connections? How do the time-varying activities of populations of neurons represent things? How are synapse strengths ...

The device: Researchers at the University of Oxford, U.K., have engineered a soft, tissue-like material, built from hundreds of DNA-containing synthetic cells, that can transmit an electrical signal, ...

Access to AI intelligence should be equal to all. That means building collaborative systems of learning, like the Thames ...

The two neural networks that make up a GAN are referred ... becomes more skilled at distinguishing between real and synthetic samples. “In its quest to fool the discriminator, the generator ...

What is deep learning? Deep learning is a type of machine learning that uses deep neural networks with multiple layers—often hundreds or thousands—to process data and make dec ...

Polarimetric Synthetic Aperture Radar (PolSAR ... wavelet transformations in conjunction with deep convolutional neural networks (CNNs) to enhance feature extraction from PolSAR imagery.