Technology, science and the universe
Non-stationary
The term 'Non-Stationary' refers to processes where statistical properties change over time. In the context of Generative Adversarial Networks (GANs), this implies that the input data distribution…
Artificial intelligenceNon-Stationary Environment
A non-stationary environment in the context of reinforcement learning refers to a system where statistical properties change over time. This means that decisions and strategies that may have been…
Artificial intelligenceNon-Stationary Policy
A non-stationary policy in the context of reinforcement learning refers to a strategy that evolves and adapts over time, rather than remaining fixed. This means that the decisions made by an agent in…
Artificial intelligenceNon-technical Stakeholders
Non-Technical Stakeholders are individuals or groups affected by artificial intelligence (AI) but lacking a technical background. These stakeholders may include end-users, regulators, communities…
Artificial intelligenceNon-transparency
The 'lack of transparency' in the context of artificial intelligence (AI) refers to the lack of clarity in the processes and algorithms underlying the decisions made by these systems. This opacity…
Artificial intelligenceNon-violence
Non-Violence in AI ethics refers to the commitment to avoid harm and promote peaceful outcomes in AI applications. This principle is based on the premise that technology should be used for human…
Artificial intelligenceNondeterministic
The term 'non-deterministic' refers to a process or system that can produce different outcomes under the same initial conditions. In mathematics and computer science, this concept is fundamental to…
Artificial intelligenceNondiscrimination
The principle of 'Non-discrimination' in the context of artificial intelligence (AI) refers to the ethical obligation to treat all individuals equally, without allowing biases based on…
Artificial intelligenceNonlinear Multimodal Analysis
Non-linear multimodal analysis involves techniques that analyze data from multiple modalities without assuming linear relationships. This approach focuses on integrating different types of data, such…
Artificial intelligenceNonparametric Multimodal Models
Non-parametric multimodal models are statistical approaches that allow for the analysis of data from multiple modalities without assuming a specific parametric form for the distribution of that data…
Artificial intelligenceNormalized Gradient
Normalized gradient is a technique used in the training of machine learning models to ensure that the gradient does not explode or vanish during the optimization process. This technique is based on…
Artificial intelligenceNormalizing Flow
The normalizing flow is a generative model that transforms a simple distribution into a more complex one through a series of invertible transformations. This approach is based on the idea that it is…
Artificial intelligenceNormative Ethics
Normative Ethics is the study of ethical action that seeks to establish principles and norms that guide human behavior in various situations. It focuses on formulating theories that determine what is…
Artificial intelligenceNotification bot
A notification bot is a type of chatbot specifically designed to send alerts and notifications to users. These bots operate on various messaging platforms and applications, facilitating the automated…
Artificial intelligenceNovelty Detection
Novelty detection is a type of anomaly detection that focuses on identifying new or rare patterns in data. Unlike other methods that may focus on detecting deviations from a previously established…
Artificial intelligenceNQL
NQL, which stands for Natural Query Language, is a type of language designed to facilitate interaction between users and databases through queries that are more understandable and readable for…
Artificial intelligenceNucleus accumbens
The nucleus accumbens is a region of the brain that is part of the reward system and is involved in the regulation of pleasure, motivation, and reinforcement. It is located in the ventral striatum…
Artificial intelligenceNucleus Sampling
Nucleus sampling is a method used in natural language processing (NLP) that allows for diverse and creative outputs from a language model. This approach is based on the idea of selecting words or…
Artificial intelligenceNudging
The Nudge refers to subtly guiding choices and behaviors without restricting options, often used in the ethical design of AI. This concept is based on the idea that human decisions can be positively…
Artificial intelligenceNumber of Epochs
The number of epochs is the number of times the learning algorithm will work through the entire training dataset. In the context of machine learning, each epoch means that the model has had the…
Artificial intelligenceNumber of Layers
The number of layers in a neural network can significantly affect its performance. In the context of neural networks, layers refer to the different layers of nodes or neurons that make up the model's…
Artificial intelligenceNumerical Analysis
Numerical analysis is the study of algorithms that use numerical approximations to solve mathematical problems that may be difficult or impossible to solve exactly. This field focuses on the creation…
Artificial intelligenceNumerical methods
Numerical methods are techniques used to solve mathematical problems through numerical approximation. These techniques are fundamental in various fields of science and engineering, as many…
Artificial intelligenceObedience
Obedience in the context of artificial intelligence (AI) refers to the compliance with guidelines established by an authority, which can be a system, an algorithm, or a set of rules designed by…