GAI: General AI
General Artificial Intelligence (GAI) refers to artificial intelligence systems capable of performing a wide variety of tasks with performance comparable to or superior to that of humans. Unlike narrow AI systems, which are optimized for specific tasks, GAI is designed to learn, adapt, and apply knowledge across multiple […]
MAI: Multimodal AI
Multimodal Artificial Intelligence (MAI) represents an important evolution of traditional AI. Unlike unimodal approaches that deal with a specific type of data, such as text or images, MAI is able to process, integrate and analyze data from multiple modalities, such as text, audio, images, videos and sensors. This is […]
CAI: Collaborative AI
Collaborative AI (CAI) refers to a set of technologies and methods that enable AI systems to work together to achieve complex tasks. This collaboration can occur between different AI models, between AI and humans, or between AI systems and other devices and applications. CAI is […]
HAI: Human-Aligned AI
Human-Aligned AI (HAI) is an approach to AI development that prioritizes aligning AI systems with human values, goals, and ethics. HAI seeks to create intelligent systems that are not only efficient and effective, but also transparent, trustworthy, and secure, aligning with the principles of […]
NAI: Narrow AI
Narrow AI (NAI) is a type of AI technology that is designed to perform a specific task, optimizing its performance in that specific area. Unlike Artificial General Intelligence (AGI), NAI does not have the ability to multitask or generalize learning from one task to […]
TAI: Transformative AI
Transformative Artificial Intelligence (TAI) refers to a set of artificial intelligence technologies and systems that have the ability to perform complex and high-level tasks, often surpassing the efficiency and effectiveness of humans in certain domains. TAI is not just a gradual increment of current artificial intelligence (AI), but […]
FAI: Friendly AI
Friendly AI (FAI) is a concept within the field of AI that focuses on developing artificial intelligence systems that can promote ethical values and align with human interests. The main goal of FAI is to create a system that, by being able to learn and evolve in a way that […]
RAI: Responsible AI
Responsible AI (RAI) is a set of principles and practices that aim to ensure that AI systems are developed, implemented and used in an ethical, fair, transparent and safe manner. RAI covers several aspects, including data privacy, fairness, accountability, explainability, security, legal compliance and social awareness. The […]
XAI: Explainable AI
XAI, or Explainable Artificial Intelligence, is a field of AI that aims to develop models and techniques that can provide clear and human-understandable interpretations of the decisions made by AI systems. Traditionally, many AI models, especially those based on deep neural networks, are considered 'black boxes' due to the complexity and opacity of their […]
NAS: Neural Architecture Search
Neural Architecture Search (NAS) is an automated technique used to design neural network architectures. It is an optimization process that seeks to identify the optimal configuration of network components, such as layers, activations, and connectivity, to maximize performance in a specific task. NAS is implemented through a process of […]
