Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Artificial Intelligence.pdf
1. Artificial Intelligence (AI) | 1st Part
Artificial Intelligence (AI), In opposition to the intelligence of people or animals,
artificial intelligence (AI) refers to the intelligence of computers or software. It is also
the area of computer science where intelligent devices are created and studied. The
term "AI" can also refer to the actual devices.
The simulation of human intelligence in machines or computer systems is known as
artificial intelligence (AI). It involves the creation of algorithms and software that
allow machines to carry out operations like language comprehension, problem-
solving, learning, and reasoning that ordinarily call for the human mind.
Artificial Intelligence (AI):
Two major categories can be used to classify AI:
1: Narrow or Weak AI:
Also known as Narrow AI or Weak AI, this type of AI is designed to perform specific
tasks or solve particular problems. It operates within a limited domain and does not
possess general intelligence or consciousness. Examples include virtual personal
assistants like Siri or Alexa, recommendation algorithms used by streaming services,
and image recognition software.
2. 2: General or Strong AI:
General AI, also referred to as Strong AI or AGI (Artificial General Intelligence),
represents a level of AI that possesses human-like intelligence across a wide range of
tasks and can understand, learn, and adapt to new challenges similar to a human
being. General AI is still largely a theoretical concept and has not been achieved as of
my last knowledge update in September 2021.
AI technologies cover a wide range of fields, such as:
Developing techniques: that enable computers to learn from data and make
predictions or judgments without explicit programming is the focus of the machine
learning subfield of artificial intelligence.
Deep Learning: is a subset of machine learning that makes use of deep neural
networks, which have many layers, to analyze and interpret enormous datasets,
frequently producing state-of-the-art outcomes in tasks like speech and image
recognition.
3. NLP: is the area of artificial intelligence that deals with how computers and human
language interact. NLP gives computers the ability to comprehend, decipher, and
produce human language.
Computer vision: the study of how to make computers perceive and comprehend
visual data from the outside world, such as pictures and films.
Robotics: The application of artificial intelligence and machine learning to physical
systems to make robots.
Healthcare (diagnosis and treatment recommendations), finance (algorithmic trading),
transportation (autonomous cars), customer service (chatbots), and many other fields
are just a few of the numerous fields where AI has applications.
AI is still developing swiftly, with new discoveries, ongoing research, and ethical
questions about its use and potential effects on society. It can significantly affect
several aspects of our lives, including how we work, communicate, and handle
challenging situations.
Read more articles here: https://www.facts-mania.com/2023/10/Artificial-Intelligence-AI.html