Category: A.I

Introduction Artificial Intelligence (AI) has become an essential tool in bioinformatics, genomics, proteomics, metabolomics, lipidomics, epigenomics, multiomics, CRISPR, precision medicine,…

Introduction to Explainable AI (XAI) Explainable AI (XAI) refers to the set of techniques and methods used to make artificial…

Introduction to Diffusion Models Diffusion models are a class of generative models used in machine learning and artificial intelligence to…

Introduction to Large Language Models (LLMs) Large Language Models (LLMs) are a type of artificial intelligence (AI) model capable of…

Introduction to Reinforcement Learning (RL) Definition and Basics of RL: Reinforcement Learning (RL) is a type of machine learning paradigm…

Introduction to Generative Adversarial Networks (GANs) Generative Adversarial Networks (GANs) are a class of machine learning models designed to generate…

Introduction to Neuromorphic Computing: Definition and Principles of Neuromorphic Computing: Neuromorphic computing is a field of computing that aims to…

Introduction to Federated Learning: Definition and Conceptual Framework: Federated learning is a machine learning approach that allows multiple devices or…