Machine Learning
Artificial Intelligence
Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of human beings or animals. It is a field of computer science that develops and studies intelligent machines, with a primary goal of creating technology that allows computers and machines to function in an intelligent manner. Major AI sub-fields include machine learning, deep learning, natural language processing, and computer vision.
Artificial neural network
An artificial neural network (ANN) is a computational model composed of interconnected nodes (“neurons”) that learn patterns from data by adjusting connection weights. Originating in mid‑20th‑century attempts to formalize cognition, ANNs underpin modern machine learning and deep learning methods used in vision, language, speech, and decision-making.
Computer vision
Computer vision is a field of artificial intelligence focused on enabling computers to interpret and infer meaning from images and video. It combines mathematical modeling, machine learning, and signal processing to accomplish tasks such as object recognition, detection, segmentation, tracking, and 3D reconstruction in domains ranging from medicine to robotics.
Deep learning
Deep learning is a subfield of artificial intelligence and machine learning that uses multilayer artificial neural networks to learn hierarchical representations from data. It underpins major advances in computer vision, speech recognition, natural language processing, and decision-making systems since the early 2010s.
Embedding Models in Machine Learning
Embedding models are machine learning techniques that transform high-dimensional data into lower-dimensional vector spaces, preserving semantic relationships and enabling efficient processing across various data types.
Explainable artificial intelligence
Explainable artificial intelligence (XAI) refers to methods and practices that make the behavior and outputs of AI systems understandable to humans. It encompasses inherently interpretable models and post‑hoc explanation techniques for complex models, and is closely linked to trust, accountability, safety, and regulatory compliance. Public agencies and standards bodies have issued principles and requirements for explainability in high‑stakes applications such as credit, healthcare, and public services.
Natural language processing
Natural language processing (NLP) is a subfield of computer science and artificial intelligence concerned with enabling computers to process, generate, and analyze human language in text and speech. It integrates computational linguistics, statistics, and machine learning—especially deep learning—to build systems for tasks such as translation, question answering, summarization, and information extraction.
Neural Networks
Neural networks are computational models inspired by the human brain, designed to recognize patterns and solve complex problems across various domains, including image and speech recognition, natural language processing, and autonomous systems.
Recraft AI
Recraft AI is a generative artificial intelligence platform developed by Recraft, Inc., specializing in creating and editing digital images through natural language prompts. Founded in 2022 by machine learning scientist Anna Veronika Dorogush, the platform is tailored for professional design workflows, emphasizing brand consistency, text fidelity, and layout control.