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TERMINOLOGIES IN ARTIFICIAL INTELLIGENCE EXPLAINED

Artificial intelligence Terminologies

TERMINOLOGIES IN ARTIFICIAL INTELLIGENCE

Artificial Intelligence
A.I. is the broadest term, applying to any technique that enables computers to mimic human intelligence, using logic, if-then rules, decision trees and machine learning.

Machine Learning
The subset of A.I. that includes statistical techniques that enable machines to improve at tasks with experience.

Deep Learning
The subset of machine learning composed of algorithms that permit software to train itself to perform tasks, like speech and image recognition, by exposing multilayered neural networks to vast amounts of data. Neural Networks or Neural Nets Software constructions modeled after the way adaptable networks of neurons in the brain are understood to work, rather than through rigid instructions
predetermined by humans.

Big Data
Extremely large data sets that are used for computational analysis, many for neural nets to reveal patterns or trends.

Singularity
The hypothesized time/state at which super-intelligent machines begin improving themselves without human involvement.


Natural-Language Processing
The computer processing that takes place in speech-recognition technology, in which software is able to recognize spoken sentences and is able to re-create spoken language into text.

Quantum Computing
A computing form that combines digital computing with quantum physics. Quantum computers abide by principles such as superposition and utilize qubits, or quantum bits. Quantum computers operate about 100 million times as fast as personal computers and, crucially, can perform simultaneous calculations at rates that increase exponentially.

2 comments:

  1. Interesting, didn't know about the "singularity" term.

    ReplyDelete
    Replies
    1. Good to know you find the post interesting.

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