Acronyms that contain the term ai complete

What does ai complete mean? This page is about the various possible meanings of the acronym, abbreviation, shorthand or slang term: ai complete.

We've found a total of 193 shorthands for ai complete:

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CBC

Complete Blood Count

Medical » Laboratory

   
CBC

Complete Blood Count

Medical » Physiology

   
C/W

Complete With

Business » Products

   
C

Complete

Business » General

   
CNDO

Complete Neglect of Differential Overlap

Academic & Science » Electronics

   
CORPS

Complete Omniversal Role Playing System

Community » Sports

   
CBSI

Complete Business Solutions, Inc.

Business » NASDAQ Symbols

   
CMR

Complete Metabolic Response

Medical » Physiology

   
CLCZ

Complete Logistics Company

Regional » Railroads

   
CMPU

Complete Logistics Company

Regional » Railroads

   
ABCDEF

A Better Complete Development Engineering Firm

Business » Firms

   
CAENEX

Complete Atmospheric Energetics Experiment

Academic & Science » Ocean Science

   
ACMRU

Auto Complete Most Recently Used

Computing » Databases

   
ROMCP

Range Of Motion Complete and Pain free

Medical » Physiology

   
CMWLW

Complete Wellness Centers, Inc. Warrants

Business » NASDAQ Symbols

   
CBC

Complete Blood Count

Governmental » NASA

   
C

Complete

Governmental » NASA

   
CBC

Complete Blood Count

Governmental » FDA

   
CHB

Complete Heart Block

Medical » Physiology

   
RCB

Randomized Complete Block design

Computing » General

   
CR

Complete Response

Community » Educational

   
TSSA

Tessa Complete Health Care

Business » NASDAQ Symbols

   
CRQ

Complete Review Quarterly

Community » Media

   
WCFG

Weakly Complete Finitely Generated

Academic & Science » Physics

   
SICK

Society in Complete Kaos

Miscellaneous » Unclassified

   

What does ai complete mean?

AI complete
[MIT, Stanford: by analogy with NP-complete (see NP-)] Used to describe problems or subproblems in AI, to indicate that the solution presupposes a solution to the ‘strong AI problem’ (that is, the synthesis of a human-level intelligence). A problem that is AI-complete is, in other words, just too hard.Examples of AI-complete problems are ‘The Vision Problem’ (building a system that can see as well as a human) and ‘The Natural Language Problem’ (building a system that can understand and speak a natural language as well as a human). These may appear to be modular, but all attempts so far (2003) to solve them have foundered on the amount of context information and ‘intelligence’ they seem to require. See also gedanken.

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