To recap: Recommended for You How to check if you’re affected by the Marriott mega data breach Despite CRISPR baby controversy, Harvard University will begin gene-editing sperm I 3D-printed every bit of my wedding—including my bouquet EXCLUSIVE: Chinese scientists are creating CRISPR babies The Chinese scientist who claims he made CRISPR babies is under investigation Most AI advances and applications are based on a type of algorithm known as machine learning that finds and reapplies patterns in data.Deep learning, a powerful subset of machine learning, uses neural networks to find and amplify even the smallest patterns.Neural networks are layers of simple computational nodes that work together to analyze data, kind of like neurons in the human brain..Using one neural network is really great for learning patterns; using two is really great for creating them..They are responsible for the first piece of AI-generated artwork sold at Christie’s, as well as the category of fake digital images known as “deepfakes.” Their secret lies in the way two neural networks work together—or rather, against each other..You start by feeding both neural networks a whole lot of training data and give each one a separate task..The first network, known as the generator, must produce artificial outputs, like handwriting, videos, or voices, by looking at the training examples and trying to mimic them..The second, known as the discriminator, then determines whether the outputs are real by comparing each one with the same training examples.. More details