computer science

Timeline of artificial intelligence

Timeline of artificial intelligence is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Timeline of artificial intelligence rather than just read about it. In short: This is a timeline of artificial intelligence, also known as synthetic intelligence. Antiquity, Classical and Medieval eras 1600–1900 20th century 1901–1950 1950s 1960s 1970s 1980s 1990s 21st century 2000s 2010s 2020s See also Timeline of machine translation Timeline of machine learning Timeline of artificial intelligence risks in global finance Notes References Sources Buchanan, Bruce G.

Key takeaways

Timeline of artificial intelligence belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Timeline of artificial intelligence to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Timeline of artificial intelligence from memory before moving on to harder problems.

Reference excerpt

This is a timeline of artificial intelligence, also known as synthetic intelligence.

Antiquity, Classical and Medieval eras

1600–1900

20th century

1901–1950

1950s

1960s

1970s

1980s

1990s

21st century

2000s

2010s

2020s

See also Timeline of machine translation Timeline of machine learning Timeline of artificial intelligence risks in global finance

Notes

References

Sources Buchanan, Bruce G. (2005), "A (Very) Brief History of Artificial Intelligence" (PDF), AI Magazine, pp. 53–60, archived from the original (PDF) on 26 September 2007, retrieved 30 August 2007 Christian, Brian (2020). The Alignment Problem: Machine learning and human values. W. W. Norton & Company. ISBN 978-0-393-86833-3. OCLC 1233266753. Crevier, Daniel (1993). AI: The Tumultuous Search for Artificial Intelligence. New York, NY: BasicBooks. ISBN 0-465-02997-3. Linsky, Bernard; Irvine, Andrew David (Spring 2022). Edward N. Zalta (ed.). "Principia Mathematica". The Stanford Encyclopedia of Philosophy. McCorduck, Pamela (2004), Machines Who Think (2nd ed.), Natick, MA: A. K. Peters, Ltd., ISBN 978-1-56881-205-2 Needham, Joseph (1986). Science and Civilization in China: Volume 2. Taipei: Caves Books Ltd. Russell, Stuart J.; Norvig, Peter. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Hoboken: Pearson. ISBN 978-0-13-461099-3. LCCN 20190474. Samuel, Arthur L. (July 1959), "Some studies in machine learning using the game of checkers", IBM Journal of Research and Development, 3 (3): 210–219, doi:10.1147/rd.33.0210, S2CID 2126705, archived from the original on 3 March 2016, retrieved 20 August 2007 Schmidhuber, Jürgen (2022). "Annotated History of Modern AI and Deep Learning". Wong, Matteo (19 May 2023), "ChatGPT Is Already Obsolete", The Atlantic

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Illustrations

Worked examples

Example 1 — a first encounter with Timeline of artificial intelligence

Start with the simplest possible case. Write down what Timeline of artificial intelligence claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Timeline of artificial intelligence before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Timeline of artificial intelligence ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Timeline of artificial intelligence

In research: Timeline of artificial intelligence appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Timeline of artificial intelligence in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Timeline of artificial intelligence is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computing timelines, Contemporary history, History of artificial intelligence, so understanding it makes those chapters shorter.
In everyday life: Look for Timeline of artificial intelligence outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Timeline of artificial intelligence in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Timeline of artificial intelligence means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Timeline of artificial intelligence out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Timeline of artificial intelligence in simple terms?

This is a timeline of artificial intelligence, also known as synthetic intelligence. Antiquity, Classical and Medieval eras 1600–1900 20th century 1901–1950 1950s 1960s 1970s 1980s 1990s 21st century 2000s 2010s 2020s See also Timeline of machine translation Timeline of machine learning Timeline of…

Why does Timeline of artificial intelligence matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Timeline of artificial intelligence?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Timeline of artificial intelligence.