Despite what many people think, AI has actually been a part of our lives for many years now. When you write a text or an email and your phone suggests the next word, that is AI. Spam filters, personalized advertisements, facial recognition technologies, and so …
Generative models are a crucial aspect of artificial intelligence and machine learning. They are designed to learn patterns in data and generate new data samples with similar characteristics. In this article, we will explore the most popular generative models, including Variational Autoencoders (VAEs), Generative Adversarial …
In the context of drug discovery, GANs can be employed to generate novel molecular structures that exhibit specific characteristics, such as binding affinity to a target protein or favorable pharmacokinetic properties. By using GANs, researchers can identify potential drug candidates more efficiently and cost-effectively than …
Generative Adversarial Networks (GANs) have rapidly emerged as a groundbreaking innovation in the field of deep learning. Introduced by Ian Goodfellow and his colleagues in 2014, GANs consist of two competing neural networks – the generator and the discriminator – that work together to create …
