List of AI Terms

A-Z Glossary of Terms Related to Artificial Intelligence

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Ask someone from Gen X for their childhood phone number and their best friend's number, and they'll tell you them, even though those numbers have likely been out of service since the 80s. The same is not true for today's iKids (Millennials and Gen Z), who have no interest in wasting brain space for anything that can be accessed so readily on their smart phones.

Worryingly though, almost everything can be accessed on smart phones, so there is no need to remember anything. It seems that we are heading for a time when the iGenerations will "know" everything while knowing nothing. And, such brain laziness could feasibly be leading to a decline in cognitive function. It seems the adage "use it or lose it" might equally apply to our brains as it does our quadriceps.

If the adage is true, then we're all in trouble because, due to proliferation of AI chatbots, creativity and thinking are declining. Nowadays, if you want a poem, a song, a story, an apology letter, a loan agreement, a wedding speech, a tenancy agreement, a covering letter, a parking-fine mitigation, an English translation of a Qur'an verse, or a Space Invaders game written in JavaScript, you can have it at the press of a button within 5 seconds. It's like going to the gym and having a robot thrash the X-trainer for you.

So, how long will it be before we have public brain gyms, places we can go to prevent our brains from going soft? In the meantime, let's exercise our brains by tracking the development of AI. But, if you're an iKid and that's too much work for you, you could always ask an AI chatbot to create a crayon depiction of AI's advancement for you.

Anyway, the emergence of artificial Intelligence (AI) has given rise to lots of new terms and abbreviations. And, let's not forget that AI includes other aspects like robotics, computer vision, speech recognition, sentiment analysis, expert systems, fuzzy systems, and evolutionary computation, each with its own set of abbreviations and terminologies.

a list of AI-related terms
This AI glossary is updated regularly. However, there are many other abbreviations that you might encounter depending on the specific area of AI you're dealing with. The field is vast and continually evolving, so new techniques and abbreviations are being developed all the time. If you know an important abbreviation or term that we have missed, please tell us using this form.
Term & Definition
Computer systems able to perform tasks that usually require human intelligence.
The offering of AI and ML capabilities as part of cloud computing services.
Highly autonomous systems that outperform humans at most economically valuable work.
Computing systems inspired by the human brain's neural networks. They are a key component of Deep Learning (DL).
The process of automating the end-to-end process of applying machine learning to real-world problems.
An LLM method developed by Google and used in NLP.
A class of DNN, most commonly applied to analyzing visual imagery.
A subset of ML that structures algorithms in layers to create an artificial neural network that can learn and make intelligent decisions on its own.
A type of ANN with multiple layers between the input and output layers.
A class of AI algorithms used in unsupervised machine learning, implemented by a system of two neural networks contesting with each other.
A class of language processing models particularly known for their ability to generate coherent and contextually relevant text.
A type of RNN that simplifies learning in sequential tasks. It uses gating mechanisms to control information flow.
The network of physical objects (i.e., "things") that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet.
A type of AI designed to process, understand, and generate human language.
A type of RNN that can remember long sequences of data, improving performance in tasks like speech recognition.
A subset of AI that involves the practice of using algorithms to parse data, learn from it, and then make a determination or prediction.
AI systems designed to perform specific tasks, operating under a limited set of constraints. (Also known as "Weak AI".)
A branch of AI that helps computers understand, interpret, and manipulate human language.
A type of ML where an agent learns to behave in an environment, by performing actions and seeing the results.
A type of ANN designed to recognize patterns in sequences of data, such as text, genomes, handwriting, or spoken word.
AI systems that surpass human intelligence in practically every field.
AI systems designed to perform specific tasks, operating under a limited set of constraints. (More commonly known as "Narrow AI".)

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