A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

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 ...

Researchers have used artificial intelligence (AI) to design brand-new enzymes that can go through multi-step reactions, a ...

An AI system developed by Google DeepMind, Google's premiere AI research lab, has surpassed the average gold medalist in ...

A dedicated neural network was created for COSY, HMBC, and HSQC spectra to guarantee optimum detection of real NMR peaks for 2D experiments. For training, 5000 synthetic spectra were used.

Artificially engineered biological processes, such as perception systems, remain an elusive target for organic electronics experts due to the reliance of human senses on an adaptive network of sensory ...