1. AI & Intelligence
Human Intelligence
"The mental quality that consists of the abilities to learn from experience, adapt to new situations, understand and handle abstract concepts, and use knowledge to manipulate one's environment."
Artificial Intelligence
"Intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals."
Scientific Method
"An empirical method for acquiring knowledge that has characterized the development of science."
Singularity (Kurzweil)
"A future period characterized by rapid technological growth that will irreversibly transform human life."
2. Machine Learning & Neural Networks
Machine Learning (Tom Mitchell)
"The study of computer algorithms that allow computer programs to automatically improve through experience."
Neural Network
"A machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions."
Deep Learning
"Deep learning is a multi-layered neural network."
3. Generative AI & Data
Large Language Models (LLMs) (IBM)
"Deep learning algorithms that can recognize, summarize, translate, predict, and generate content using very large datasets."
Generative AI (IBM)
"Refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on."
Big Data (Dialogic.com)
"Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations."
Data Visualization (IBM)
"The representation of data through use of common graphics, such as charts, plots, infographics and even animations."
4. Robotics & Ethics
Robotics
"A machine that can carry out a complex series of tasks automatically, either with or without intelligence."
Risk
"A person or thing regarded as a threat or likely source of danger."
Ethics
"Moral principles that govern a person's behavior or the conducting of an activity."
AI Governance
A set of practices (policies, standards, AI steering committees) to keep AI systems safe, ethical, and under control.
5. Data Types
Structured Data
Organized sequentially or in tabular format (e.g., spreadsheets, SQL databases).
Semi-structured Data
Has some organizational properties but not fully tabular (e.g., JSON, XML, emails).
Unstructured Data
No pre-defined order or structure (e.g., images, video, social media posts).