Glossary

A

Artificial Intelligence (AI): The simulation of human intelligence processes by machines, especially computer systems.

Algorithm: A set of rules or instructions given to an AI, neural network, or other machine to help it learn on its own.

Artificial General Intelligence (AGI): A hypothetical type of AI that would have the ability to understand, learn, and apply its intelligence to solve any problem, much like a human.

Artificial Narrow Intelligence (ANI): AI that specializes in one area or task. Also known as Narrow AI or Weak AI.

Artificial Superintelligence (ASI): A form of AI that surpasses human intelligence and ability in virtually all domains.

B

Big Data: Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations.

Blockchain: A decentralized, distributed ledger technology that records transactions across many computers.

C

ChatGPT: An AI language model developed by OpenAI, capable of generating human-like text based on the input it receives.

Computer Vision: A field of AI that trains computers to interpret and understand the visual world.

D

Deep Learning: A subset of machine learning based on artificial neural networks with multiple layers.

Data Mining: The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

E

Expert System: An AI system that emulates the decision-making ability of a human expert.

F

Facial Recognition: A technology capable of identifying or verifying a person from a digital image or video frame.

G

GPT (Generative Pre-trained Transformer): A type of large language model using deep learning to produce human-like text.

M

Machine Learning: A subset of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

N

Natural Language Processing (NLP): The ability of a computer program to understand human language as it is spoken or written.

Neural Network: A series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.

R

Robotics: The branch of technology that deals with the design, construction, operation, and use of robots.

S

Singularity: A hypothetical future point in time when artificial intelligence becomes so advanced that it triggers runaway technological growth, resulting in unfathomable changes to human civilization.

Supervised Learning: A type of machine learning where the algorithm is trained on a labeled dataset.

T

Turing Test: A test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.

U

Unsupervised Learning: A type of machine learning where the algorithm is trained on an unlabeled dataset and left to find patterns on its own.

V

Virtual Reality (VR): A simulated experience that can be similar to or completely different from the real world.