Artificial intelligenceArtificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning…View analysis →
Machine learningMachine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to…View analysis →
Deep learningIn machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The…View analysis →
Generative AIGenerative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, software code or…View analysis →
Natural language processingNatural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely associated with artificial…View analysis →
Foundation modelIn artificial intelligence, a foundation model (FM), also known as large x model (LxM, where "x" is a variable representing any text, image, sound, etc.), is a machine learning…View analysis →
Digital image processingDigital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image…View analysis →
Supervised learningIn machine learning, supervised learning (SL) is a type of machine learning paradigm where an algorithm learns to map input data to a specific output based on example…View analysis →
Biomedical text miningBiomedical text mining (including biomedical natural language processing or BioNLP) refers to the methods and study of how text mining may be applied to texts and literature of…View analysis →
Llama (language model)Llama ("Large Language Model Meta AI" serving as a backronym) was a family of large language models (LLMs) released by Meta AI starting in February 2023.View analysis →
Sentiment analysisSentiment analysis (also known as opinion mining) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify…View analysis →
Deep Learning Super SamplingDeep Learning Super Sampling (DLSS) is a suite of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available in a number of video…View analysis →
Word embeddingIn natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that…View analysis →
Explainable artificial intelligenceWithin artificial intelligence (AI), explainable AI (XAI), generally overlapping with interpretable AI or explainable machine learning (XML), is a field of research that explores…View analysis →
Unsupervised learningUnsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. Other frameworks in…View analysis →
Multi-agent reinforcement learningMulti-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist in a shared…View analysis →
Open-source artificial intelligenceOpen-source artificial intelligence, as defined by the Open Source Initiative, is an AI system that is freely available to use, study, modify, and share. This includes datasets…View analysis →
Quantum machine learningQuantum machine learning (QML) is the study of quantum algorithms for machine learning. It often refers to quantum algorithms for machine learning tasks which analyze classical…View analysis →
Deep reinforcement learningDeep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem of a computational…View analysis →
BERT (language model)Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. It learns to represent text as a sequence…View analysis →
Recursive neural networkA recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce a structured prediction…View analysis →
Neural network (machine learning)In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks.View analysis →
Computer visionComputer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order…View analysis →
Large language modelA large language model (LLM) is an AI model (typically a neural network) trained on a vast amount of text for natural language processing tasks, especially language generation…View analysis →
Artificial intelligence in video gamesArtificial intelligence (AI) in video games refers to the computational systems that control non-player characters (NPCs), generate dynamic game behavior, or simulate strategic…View analysis →
Reinforcement learningIn machine learning and optimal control, reinforcement learning (RL)View analysis →
Transformer (deep learning)In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data such as text, images, or…View analysis →
Graph neural networkGraph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs.View analysis →
Progress in artificial intelligenceProgress in artificial intelligence (AI) is the advances, milestones, and breakthroughs that have been achieved in the field of artificial intelligence over time. AI is a branch…View analysis →
Self-supervised learningSelf-supervised learning (SSL) is a paradigm in machine learning where a model is trained on a task using the data itself to generate supervisory signals, rather than relying on…View analysis →
Language modelA language model is a computational model that predicts sequences in natural language. Language models are useful for a variety of tasks, including speech recognition, machine…View analysis →
Artificial intelligence engineeringArtificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves…View analysis →
Object detectionObject detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as…View analysis →
Multimodal sentiment analysisMultimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. It can be bimodal, which…View analysis →
Residual neural networkA residual neural network (also referred to as a residual network or ResNet) is a deep learning architecture in which the layers learn residual functions with reference to the…View analysis →
World model (artificial intelligence)A world model in artificial intelligence is a machine learning system that builds an internal representation of an environment. Often this is via understanding objects within…View analysis →
