This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Find sources: "Knowledge Machine" – news · newspapers · books · scholar · JSTOR(August 2017) (Learn how and when to remove this message)
The topic of this article may not meet Wikipedia's general notability guideline. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be merged, redirected, or deleted. Find sources: "Knowledge Machine" – news · newspapers · books · scholar · JSTOR(December 2020) (Learn how and when to remove this message)
The Knowledge Machine is a concept of Seymour Papert, which is intended to enable children to explore any situation and engage them completely. Although Papert never clearly defined the Knowledge Machine, one interpretation is a virtual reality device that allows the user to slip into any situation and have a simulated experience of that situation.
The Knowledge Machine (KM) is also a developed system at the University of Texas for knowledge representation and reasoning within the artificial intelligence field. km was developed and continues to be actively maintained by Peter Clark and Bruce Porter.
The KnowledgeMachine is a concept of Seymour Papert, which is intended to enable children to explore any situation and engage them completely. Although...
Knowledge is an awareness of facts, a familiarity with individuals and situations, or a practical skill. Knowledge of facts, also called propositional...
Kahle and Bruce Gilliat, developed the Wayback Machine to provide "universal access to all knowledge" by preserving archived copies of defunct web pages...
Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, is one of the leading academic conferences on machine learning...
(epistḗmē) 'knowledge', and -logy) is the branch of philosophy concerned with knowledge. Epistemologists study the nature, origin, and scope of knowledge, epistemic...
However, an increasing emphasis on the logical, knowledge-based approach caused a rift between AI and machine learning. Probabilistic systems were plagued...
data science and machine learning, particularly in graph neural networks and representation learning, have broadened the scope of knowledge graphs beyond...
In machine learning, knowledge distillation or model distillation is the process of transferring knowledge from a large model to a smaller one. While...
Transfer learning is when the knowledge gained from one problem is applied to a new problem. Deep learning is a type of machine learning that runs inputs...
learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, is a machine learning...
Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization...
sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates...
Knowledge representation and reasoning (KRR, KR&R, KR²) is the field of artificial intelligence (AI) dedicated to representing information about the world...
necessarily spit out the knowledge itself (as is the case for zero-knowledge proofs) a machine with a different program, called the knowledge extractor is introduced...
The Google Knowledge Graph is a knowledge base from which Google serves relevant information in an infobox beside its search results. This allows the user...
knowledge economy, or knowledge-based economy, is an economic system in which the production of goods and services is based principally on knowledge-intensive...
Definitions of knowledge try to determine the essential features of knowledge. Closely related terms are conception of knowledge, theory of knowledge, and analysis...
Knowledge integration is the process of synthesizing multiple knowledge models (or representations) into a common model (representation). Compared to...
Machine to machine (M2M) is direct communication between devices using any communications channel, including wired and wireless. Machine to machine communication...
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related...
The Enigma machine is a cipher device developed and used in the early- to mid-20th century to protect commercial, diplomatic, and military communication...
ISBN 978-0-8018-8257-9. Buckland, Michael (2006). Emanuel Goldberg and His KnowledgeMachine. Libraries Unlimited. ISBN 978-0-313-31332-5. Ensslin, Astrid (2007)...
A machine gun (MG) is a fully automatic, rifled auto-loading firearm designed for sustained direct fire with rifle cartridges. Other automatic firearms...
employed by expert systems. Programming languages such as Prolog, KnowledgeMachine and ECLiPSe support backward chaining within their inference engines...
Goldberg and His KnowledgeMachine: Information, Invention, and Political Forces. Greenwood Publishing Group. ISBN 9780313313325. "Reading Machine Speaks Out...
Knowledge transfer refers to transferring an awareness of facts or practical skills from one entity to another. The particular profile of transfer processes...
Global Information
