👉 Gen computing, or Generative Computing, is an advanced form of artificial intelligence that focuses on creating new data instances that resemble existing ones, such as images, text, or sounds. This is achieved through sophisticated algorithms like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), which involve two neural networks: a generator that creates new data and a discriminator that evaluates its authenticity. Over time, the generator learns to produce highly realistic outputs that can fool the discriminator, effectively generating new content indistinguishable from real data. Gen computing has transformative applications in fields like digital art, virtual reality, drug discovery, and personalized content creation, offering unprecedented capabilities for innovation and creativity.
