Moore's law
E32615
Moore's law is an observation and prediction that the number of transistors on an integrated circuit—and thus computing power—tends to roughly double at regular intervals, driving exponential growth in digital technology.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Moore's law canonical | 7 |
| Moore’s law | 3 |
| Moore's Law | 1 |
| Moore's Law exhibit | 1 |
| Moore's law scaling assumptions | 1 |
| law of accelerating returns | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T255913 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Moore's law Context triple: [Gordon E. Moore, knownFor, Moore's law]
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A.
Gordon E. Moore
Gordon E. Moore was an American engineer, co-founder of Intel Corporation, and originator of Moore’s Law, which predicted the exponential growth of computing power.
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B.
von Neumann architecture
The von Neumann architecture is a foundational computer design model in which a single memory stores both program instructions and data, executed sequentially by a central processing unit.
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C.
Shockley Semiconductor Laboratory
Shockley Semiconductor Laboratory was a pioneering Silicon Valley research and development company founded by Nobel laureate William Shockley that became the seed for many later semiconductor firms, including those started by the "traitorous eight."
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D.
Intel 4004
The Intel 4004 is the first commercially available microprocessor, a 4-bit CPU introduced in 1971 that launched the microprocessor revolution.
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E.
Church–Turing thesis
The Church–Turing thesis is a foundational principle in computability theory stating that any function that can be effectively computed by an algorithm can be computed by a Turing machine (or equivalently by other formal models of computation).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Moore's law Target entity description: Moore's law is an observation and prediction that the number of transistors on an integrated circuit—and thus computing power—tends to roughly double at regular intervals, driving exponential growth in digital technology.
-
A.
Gordon E. Moore
Gordon E. Moore was an American engineer, co-founder of Intel Corporation, and originator of Moore’s Law, which predicted the exponential growth of computing power.
-
B.
von Neumann architecture
The von Neumann architecture is a foundational computer design model in which a single memory stores both program instructions and data, executed sequentially by a central processing unit.
-
C.
Shockley Semiconductor Laboratory
Shockley Semiconductor Laboratory was a pioneering Silicon Valley research and development company founded by Nobel laureate William Shockley that became the seed for many later semiconductor firms, including those started by the "traitorous eight."
-
D.
Intel 4004
The Intel 4004 is the first commercially available microprocessor, a 4-bit CPU introduced in 1971 that launched the microprocessor revolution.
-
E.
Church–Turing thesis
The Church–Turing thesis is a foundational principle in computability theory stating that any function that can be effectively computed by an algorithm can be computed by a Turing machine (or equivalently by other formal models of computation).
- F. None of above. chosen
Statements (54)
| Predicate | Object |
|---|---|
| instanceOf |
empirical observation
ⓘ
technological prediction ⓘ |
| appliesTo |
integrated circuits
ⓘ
microprocessors ⓘ transistor density ⓘ |
| assumes |
continuous advances in semiconductor fabrication
ⓘ
improvements in manufacturing yield ⓘ shrinking transistor feature sizes ⓘ |
| coreIdea |
computing power tends to double at regular intervals
ⓘ
number of transistors on an integrated circuit doubles at regular intervals ⓘ |
| describes |
exponential growth of transistor counts
ⓘ
scaling of integrated circuit complexity ⓘ trend in semiconductor technology advancement ⓘ |
| effectOn |
computing performance
ⓘ
consumer electronics ⓘ cost of computation ⓘ digital electronics ⓘ economic growth in tech sector ⓘ information technology industry ⓘ innovation pace in computing ⓘ |
| field |
computer hardware
ⓘ
The Science of Computing ⓘ
surface form:
computer science
electronics ⓘ semiconductor industry ⓘ |
| formulatedBy |
Gordon E. Moore
ⓘ
surface form:
Gordon Moore
|
| formulationYear | 1965 ⓘ |
| growthType | exponential growth ⓘ |
| industryRole |
benchmark for technology scaling
ⓘ
planning tool for chip designers ⓘ roadmap for semiconductor manufacturers ⓘ |
| influenced |
International Technology Roadmap for Semiconductors
ⓘ
data center capacity planning ⓘ economic models of computing costs ⓘ microprocessor design strategies ⓘ software development expectations ⓘ |
| limitation |
constrained by economic costs of fabrication plants
ⓘ
constrained by physical limits of miniaturization ⓘ constrained by power and heat dissipation ⓘ |
| metric |
cost per transistor
ⓘ
transistor count per chip ⓘ transistor density ⓘ |
| modernView |
continued performance gains via parallelism and specialization
ⓘ
slowing of transistor scaling in recent process nodes ⓘ |
| namedAfter |
Gordon E. Moore
ⓘ
surface form:
Gordon Moore
|
| originalArticleTitle |
“Cramming more components onto integrated circuits”
ⓘ
surface form:
Cramming more components onto integrated circuits
|
| originalPublication | Electronics magazine ⓘ |
| originalTimeInterval | every 1 year ⓘ |
| relatedConcept |
Dennard scaling
ⓘ
Koomey's law ⓘ Wirth’s law ⓘ
surface form:
Wirth's law
technology scaling ⓘ |
| status | empirical trend rather than physical law ⓘ |
| timeInterval |
approximately every 18 months
ⓘ
approximately every 2 years ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Moore's law Description of subject: Moore's law is an observation and prediction that the number of transistors on an integrated circuit—and thus computing power—tends to roughly double at regular intervals, driving exponential growth in digital technology.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.