last updated 13 June 2024
- AI - Artificial intelligence
The idea that a computer could think like a human.
A branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. AI research has been highly successful in developing effective techniques for solving a wide range of problems, from game playing to medical diagnosis.
- Autonomous Car
- BI - Business Intelligence - The strategies and technologies used by enterprises for the data analysis of business information.
Related Terms: Data Mining, Big Data, infographics.
- Big Data - Data sets that are so large or complex that traditional data processing application software is inadequate to deal with them.
Lately, the term "big data" tends to refer to the use of predictive analytics, user behavior analytics.
Related terms: machine intelligence and deep computing.
The term has been in use since the 1990s, with some giving credit to John Mashey for coining it.
- Chatbot - A program that simulates and processes human conversation (either written or spoken), allowing humans to interact with digital devices as if they were communicating with a real person.
A computer program that simulates conversation with human end users. It often uses Natural language processing (NLP) to parse inputs and generative AI to automate responses.
- Deep fakes - A technique for human image synthesis based on artificial intelligence. It is used to combine and superimpose existing images and videos onto source images or videos using a machine learning technique called a "generative adversarial network" (GAN). It can create a video that can depict a person or persons saying things or performing actions that never occurred in reality.
Deepfake Queen: 2020 Alternative Christmas Message went viral.
- Deep Learning - The latest improvement of Artificial Intelligence (AI). Deep-learning software is an attempt to mimic the activity in layers of neurons in the neocortex, the wrinkly 80 percent of the brain where thinking occurs. It analyzes large data sets to teach itself. Something like neuro networks but more complex.
AI and Neural Networks never lived up to their promise, but better algorithms and more powerful computers are allowing a jump in AI functionality. Things like language processing, object recognition are some of the applications.
See Deep Learning - MIT Technology Review
and The Difference Between AI, Machine Learning, and Deep Learning? | NVIDIA Blog
- GAN, or Generative Adversarial Network; a specific type of machine learning that uses dueling neural networks to create realistic text, photos and videos.
- Generative AI - A type of AI that can create new data, like text, images, audio, and even code. It works by analyzing existing data and learning the patterns and relationships within it.
Some examples:
Give me a picture of me surfing.
Generate singing "We Shall Overcome" in my voice
Give me a book review of "War and Peace’
Give me the javascript code to build a checklist
- Machine Learning - Part of Artificial Intelligence . Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.
Examples:
Speech and handwriting recognition.
Identify whether a text is SPAM based on being trained on numerous SPAM messages.
Determine a persons race from a picture.
- MetaVerse - An immersive 3D environment where multiple people can share the same virtual space.
it will probably provide users with a single avatar or digital identity, which grants them access to an integrated digital ecosystem. The ecosystem would potentially have its own currency, property and possessions.
A metaverse will be accessed via easily portable and immersive hardware like VR headsets, AR glasses, gloves, watches, earbuds and contact lenses.
The word “metaverse” was actually coined by author Neal Stephenson in his 1992 sci-fi novel Snow Crash.
Made popular when Facebook changed it's name to Meta in 2021.
It may include elements of existing technologies and ideas such as:
- NLP - Natural language processing is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language.
- Spacial Computing - Spatial computing is the use of digital technology to interact with computers that understand their own use in space. As opposed to traditional computing, which is carried out behind a 2D screen, spatial computing leverages AR, VR, and MR to make a computer user interface a seamless part of our world.
Links:
Other glossaries:
coursera training
Glossary of Artificial Intelligence Terms for Educators | circls
