Computer vision is an interdisciplinary field that deals with how computers can be made to gain a high-level understanding of digital images or videos.

Robotics explores how machines can sense, decide, and act in the real world, combining mechanics, control systems, and AI to solve tasks in homes, factories, hospitals, and beyond.

Abductive Logic Programming (ALP) is a subfield of artificial intelligence that deals with the inference of unknown facts from known facts.

Natural language processing is a field of computer science and linguistics concerned with the interactions between computers and human languages, and the development of software that can understand natural language.

A neural network is a computer system inspired by the human brain, using interconnected neurons to learn from data and perform complex tasks.

Human intelligence has been defined in many ways including as one's capacity for logic, abstract thought, understanding, self-awareness, communication, learning, emotional knowledge, memory, planning, creativity, and problem-solving.

Theory of mind systems are a type of artificial intelligence that focuses on understanding others' thoughts and beliefs.

Deliberative machines represent the next step in AI evolution, capable of reasoning, planning, and making decisions through complex goal-oriented thought.

Limited memory is a type of artificial intelligence that can remember and use past data to make decisions.

Reactive machines are a type of artificial intelligence that are designed to respond quickly to changes in their environment.

Artificial superintelligence (ASI) can generally be described as a computer that has surpassed human intelligence in all areas.

The self-attention mechanism enables AI models to understand relationships between words or image features simultaneously, making their outputs more coherent and context-aware.

The Turing Test measures whether a machine can exhibit conversational intelligence so convincing that humans cannot tell it apart from another human.

Weak AI refers to task-specific artificial intelligence systems that excel within narrow domains but lack true understanding, self-awareness, or general reasoning ability.

See Optical Character Recognition

See Artificial Superintelligence

The Transformer model revolutionized AI by introducing self-attention, enabling machines to understand context and relationships across entire sequences with unprecedented accuracy.

Artificial general intelligence (AGI) is a field of study focused on developing artificial intelligence systems that can learn and perform any intellectual task that a human can.