Generative Adversarial Networks (GAN): Another complex network, a GAN trains two neural networks that compete against each other. They include a generator model and a discriminator model that together ...

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

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 ...

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

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 ...

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 ...

Fiducial markers play a vital role in guiding robots by helping them navigate their environment and recognize objects. These ...

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 ...

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, ...