1. AI Dictionary - NHS AI Lab.
2. AI Dictionary - Adobe.
3. AI Dictionary by InfoWorld.
4. AI Dictionary
by Verdict AI: This online resource provides clear definitions of AI
terms and concepts, along with practical examples and applications.
5. AI Dictionary
6. AI Glossary by Azeem Azhar.
7. AI Glossary" by Google AI - Google AI's curated list of key AI terms with short explanations.
8. AI and Expert Systems: A Comprehensive Guide by Cornelius T. Leondes.
9. Artificial Intelligence (AI) Terms: A to Z Glossary
10. Dictionary of AI and Robotics by Robotics Online
- This online resource provides definitions and explanations of terms and
concepts related to AI and robotics, as well as their practical
11. Dictionary of Artificial Intelligence by Dataversity.
12. Dictionary of Artificial Intelligence edited by Stuart C. Shapiro.
13. Dictionary of Cognitive Science: Neuroscience, Psychology, Artificial Intelligence, Linguistics, and Philosophy edited by Olivier Houdé and Daniel Kayser.
14. Dictionary of Computer Science, Engineering, and Technology edited by Phillip A. Laplante.
15. Dictionary of Machine Intelligence and Robotics
16. Glossary of artificial intelligence - Wikipedia.
17. IBM AI Glossary
18. IEEE Standard Dictionary of Electrical and Electronics Terms
19. International Dictionary of Artificial Intelligence
by William Raynor - This dictionary provides concise definitions of AI
terms, concepts, and techniques, along with references for further
20. Lexicon AI: A crowdsourced dictionary for AI
21. Microsoft AI Glossary
22. MIT Encyclopedia of the Cognitive Sciences
23. MIT Technology Review AI Glossary
24. NHS AI Lab AI Dictionary
Handbook of Artificial Intelligence
26. Routledge Handbook of Philosophy of AI edited by Michael Rovatsos and Francesca Rossi.
27. Stanford University AI Index
28. The AI Dictionary" by AI Singapore:
This web-based dictionary provides definitions and explanations of AI
terms and concepts, as well as their practical applications in various
fields such as healthcare and finance.
29. The AI Dictionary" by Verdict AI: This online resource provides clear definitions of AI terms and concepts, along with practical examples and applications.
30. The AI Glossary" by Azeem Azhar
- This glossary provides concise definitions of AI terms and concepts,
along with references for further reading and examples of practical
31. The AI Primer: An Introduction to Machine Learning, Natural Language Processing, and Cognitive Computing
32. The Cambridge
Dictionary of Artificial Intelligence edited by Keith Frankish and
William M. Ramsey - This dictionary covers key concepts and terminology
in AI, as well as related fields such as philosophy of mind and
33. The Dictionary of AI and Robotics" by Robotics Online
- This online resource provides definitions and explanations of terms
and concepts related to AI and robotics, as well as their practical
34. The Dictionary of Artificial Intelligence in Medicine
- This dictionary provides definitions and explanations of terms and
concepts related to AI in medicine, including medical decision-making,
diagnosis, and treatment.
35. The Dictionary of Electrical and Electronics Terms - edited by Jane Radatz.
36. "The Dictionary of Robotics and Artificial Intelligence"
37. The Encyclopedia
of Artificial Intelligence - edited by Stuart C. Shapiro.
38. The Encyclopedia of Machine Learning and Data Mining
- edited by Claude Sammut and Geoffrey I. Webb - This encyclopedia covers
a wide range of topics in machine learning and data mining, including
supervised and unsupervised learning algorithms, clustering, and
39. The Handbook of Artificial Intelligence - edited by Avron Barr and Edward A. Feigenbaum.
40. The MIT
Encyclopedia of the Cognitive Sciences - edited by Robert A. Wilson
and Frank C. Keil - This encyclopedia covers a wide range of topics
related to cognitive science, including AI and its related fields such
as machine learning, natural language processing, and robotics.
41. The Oxford Handbook of Artificial Intelligence
42. The Routledge Social Science Handbook of AI
- edited by Michael Rovatsos and Francesca Rossi. This handbook provides
an overview of the philosophical issues related to AI, including
ethics, epistemology, and metaphysics.
43. Zowie's AI Dictionary: This beginner-friendly dictionary covers essential AI terms and phrases.
Dictionaries Related Terms
Ethics: The study of ethical issues arising in the development
of artificial intelligence.
A set of rules or procedures to solve a specific problem or perform a
Intelligence (AI): The simulation of human intelligence in
machines that are
programmed to think and learn like humans.
Systems: Systems that can perform tasks without human
in AI: The presence of systematic and unfair discrimination in
often arising from biased training data or algorithms.
Data: Large and complex datasets that traditional data
are inadequate to deal with.
A computer program designed to simulate conversation with human users,
especially over the Internet.
Vision: A field of AI that enables machines to interpret and
based on visual data.
Mining: The process of discovering patterns and knowledge from
large amounts of
Learning: A subfield of machine learning that involves neural
many layers (deep neural networks) that can automatically learn to
Computing: Processing data near the source of data generation
relying solely on centralized cloud servers.
Learning: A technique in machine learning where multiple models
are combined to
improve overall performance and accuracy.
AI (XAI): AI systems designed to provide understandable
explanations for their
decisions and actions.
Engineering: The process of selecting and transforming variables
a dataset to improve model performance.
Logic: A mathematical framework for dealing with uncertainty and
Algorithms: Optimization algorithms inspired by the process of
selection to find optimal solutions to problems.
A rule of thumb or practical approach for solving problems, often used
Engine: A component of an AI system responsible for making
decisions based on the input data and the learned model.
Representation: The process of storing and organizing
information in a way that
can be used by AI systems to reason and make decisions.
Learning (ML): A subset of AI that focuses on developing systems
that can learn
from and make decisions based on data.
A type of learning where the model is trained on multiple tasks and
learn new tasks more efficiently.
Language Processing (NLP): The ability of machines to
and generate human-like language.
Network: A computer system inspired by the structure and
functioning of the
human brain, designed to recognize patterns.
Free Lunch Theorem: A concept stating that there is no universal
performs well for all possible problems.
A formal representation of knowledge, often used in AI for organizing
Analytics: The use of data, statistical algorithms, and machine
techniques to identify the likelihood of future outcomes based on
Computing: A type of computing that takes advantage of the
quantum mechanics to perform certain types of computations more
than classical computers.
Learning: A type of machine learning where an agent learns to
make decisions by
taking actions in an environment to maximize some notion of cumulative
Process Automation (RPA): The use of software robots to automate
tasks within business processes.
Learning: A type of machine learning where the model is trained
combination of labeled and unlabeled data.
Learning: A type of machine learning where the model is trained
on a labeled
dataset, with input-output pairs.
Series Analysis: The study of ordered, often temporal, sequences
of data to
extract meaningful insights or make predictions.
Learning: A machine learning technique where a model trained on
one task is
adapted for a related but different task.
Computing: The idea that computing capabilities are embedded in
objects and environments.
Learning: A type of machine learning where the model is not
labeled output during training, and it must find patterns or
AI Dictionaries (online or in print) are valuable resources for
wants to deepen their understanding of AI terminology and concepts.
They can help individuals navigate the complex landscape of AI, and
stay up-to-date on the latest technologies and applications.