Agent - A physical or virtual entity that can act, perceive its environment (in a partial way), and communicate with others, is autonomous, and has skills to achieve its goals and tendencies
Artificial General Intelligence (AGI) - General purpose systems with intelligence comparable to that of the human mind
Artificial Intelligence (AI)- The capacity of computers or other machines to exhibit or simulate intelligent behavior
Algorithm – A systematic and precise, step-by-step procedure (such as a recipe, a program, or a set of programs) for solving certain kinds of problems or accomplishing a task
Automation - The conversion of a work process, a procedure, or equipment to automatic rather than human operation or control
Black Box: A device, system or object which can be viewed in terms of its inputs and outputs, without any knowledge of its internal workings
Big Data - Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations
Computer Vision - An AI labeling technique whereby computers process training images and videos in order to classify components from new imagery.
Data Mining - The practice of examining large data sets in order to generate new information
Data Science - A multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data Deep Learning - A class of machine learning algorithms that uses multiple layers to progressively extract higher level features from the raw input
Deep Learning: A subset of Machine Learning that typically uses unstructured data to self solve complex problems.
Deepfake: Manipulated photos and videos of people doing or saying something they never did, sometimes for
nefarious reasons, using deep learning
Explainable A.I.: A system that can detail factors that went into a prediction in a way that humans can interpret
Genetic Algorithm: An optimization algorithm based on principles of genetics and natural selection
Image Processing - The analysis and manipulation of a digitized image, especially in order to improve its quality
Image Classification – Systems that sort images into predefined categories
Inference - Predicting an outcome based on a mathematical model given input conditions
Machine Learning - A subset of artificial intelligence that gives computer systems the ability to perform tasks without using explicit instructions. Input data is usually structured.
Model – A mathematical or schematic description that describes the behavior of a system
Natural Language Processing - A branch of artificial intelligence that deals with the interaction between computers and humans using human language syntax and semantics, rather than structured computer language
Neural Network – A supervised learning model inspired by the human brain made up units (neurons) connected in multiple layers
Predictive Analytics - A variety of statistical techniques that analyze data to make predictions about future events.
Reinforcement Learning - The subfield of machine learning that learns from a series of reinforcements -- rewards or punishments
Supervised Learning - The subfield of machine learning that learns a function that maps an input to an output based on example input-output pairs
Training – The process by which supervised learning algorithms take input and tune a model to reflect the given data
Transfer Learning - A machine learning technique that uses pre-trained models from one task to solve a different but related problem
Turing Test: A test for AI to determine if it can fool a person into believing they’re seeing or interacting with a real person.
Unsupervised Learning - The subfield of machine learning that learns structure in the input without explicit feedback (like labels)