Generative Adversarial Networks (GAN): Another complex network, a GAN trains two neural networks that compete against each ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

in an attempt to create “synthetic biological intelligence”. The general idea is that biological neurons have far more complexity and capability than any neural networks simulated in software.

Artificially engineered biological processes, such as perception systems, remain an elusive target for organic electronics ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles real data. Since its inception in 2014 with Ian Goodfellow’s ‘Generative ...

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

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 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 ...