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  1. KEEP
  2. Theses and Dissertations
  3. Barrett, The Honors College Thesis/Creative Project Collection
  4. From Artificial Intelligence to Actual Intelligence: A Technological Evolution
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From Artificial Intelligence to Actual Intelligence: A Technological Evolution

Full metadata

Description

The direction of artificial intelligence is one of the most important and popular topics of technological development. Both experts and the average person agree AI will continue to play a massive role in virtually all industries. Despite this shared belief, AI has continued to progress at a limited rate, limited by conventional schools of thought and mathematical approaches. In order for truly intelligent technology to exist, one must succeed in modeling the human brain as a system, not its functionalities. Conventional AI attempts to account for all the variables and permutations of a given situation rather than creating a closed system that can implicitly utilize data to form completely unique conclusions without human intervention. By bridging the gap between mathematics, biology, and neurology, Igni will become the world's first hyper intelligent artificial intelligence system. In order to understand Igni, one must first understand the progression of conventional AI and its limitations. Then they can understanding the major components of Igni and how this technology overcomes conventional limitations in its journey to revolutionize most industries.

Date Created
2018-12
Contributors
  • Yu, Vince Winghang (Co-author)
  • Patel, Ishan (Co-author)
  • Dawson, Gregory (Thesis director)
  • Garverick, Michael (Committee member)
  • Department of Finance (Contributor)
  • School of Accountancy (Contributor)
  • Barrett, The Honors College (Contributor)
Topical Subject
  • Artifical Intelligence
  • Technology
  • Software
Resource Type
Text
Extent
42 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Barrett, The Honors College Thesis/Creative Project Collection
Series
Academic Year 2018-2019
Handle
https://hdl.handle.net/2286/R.I.50948
Embargo Release Date
Mon, 11/16/2020 - 16:37
Level of coding
minimal
Cataloging Standards
asu1
System Created
  • 2018-11-14 11:40:35
System Modified
  • 2021-08-11 04:09:57
  •     
  • 1 year 5 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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