Talk:Artificial intelligence

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August 6, 2009Peer reviewReviewed


A little light relief[edit]

We're all doomed! http://www.bbc.co.uk/news/technology-30290540

Rename "8.2 Potential harm" to "8.2 Safety"[edit]

AI safety needs mentioning, there is research and it its effects are crucial considering existing safety standards covering functional safety of devices etc. The following links confirm the relevance: https://intelligence.org/why-ai-safety/ or https://www.gov.uk/guidance/understanding-artificial-intelligence-ethics-and-safety or https://80000hours.org/podcast/episodes/pushmeet-kohli-deepmind-safety-research/ or https://vkrakovna.wordpress.com/ai-safety-resources/ --LS (talk) 13:03, 16 August 2019 (UTC)

I Agree — Preceding unsigned comment added by Bhaskarns (talkcontribs) 15:39, 9 September 2019 (UTC)

Problem Solving vs. Planning[edit]

Need some more specifics to differentiate Planning from Problem Solving. If we take a game of Chess or Go, don't these areas appear similar? Also, don't they both need Machine Learning to actually Plan or Solve? BhaskarNS (talk) 17:11, 9 September 2019 (UTC)

Planning and what this article calls "problem solving" are things that AI has been working on since the 1950s. "Problem solving" includes things like logical deduction, algebra problems, puzzles and so on -- step by step reasoning, where you consider various combinations and possible solutions. Planning is goals and sub-goals; it's the study of planning in general.
There is an overlap -- one of the interesting discoveries of the 60s and 70s is that all of these can be solved in theory by tree-searching (e.g. what a language like Prolog does). If you consider the problem's solution as the "goal", then problem solving and planning are basically the same thing, although general tools are not always the best choice for a specific problem.
Modern machine learning wasn't really running full steam until the 21st century (some fifty years later). This kind of learning is used to "solve problems" without searching a tree -- just jumping to a "good" choice without actually considering every possibility. We accept a certain number of errors in modern machine learning systems. Traditional AI tried to find the unique best answer (which was more or less a failure, by the way).
----CharlesGillingham (talk) 18:33, 7 November 2019 (UTC)

Move discussion in progress[edit]

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Artificial Intelligence Defination[edit]

The machine can generate emphasizes of inferences logically & independently at very high speed its called Artificial Intelligence. It can be utilizing in everywhere & every industries with all subjects matter like Physics, Image, Voice, Mathematics, Healthcare Drug Developments, Machine design etc. generate accurate predictions to final outcomes of your projects/production. — Preceding unsigned comment added by Kpshah234 (talkcontribs) 10:04, 11 October 2019 (UTC)