Examples of using Turing machine in English and their translations into Hindi
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Turing Machine.
Congratulations, you have built your first Turing Machine!
The Turing Machine.
In 1936, Allen published a paper to create a universal Turing machine.
The human turing machine: a neural framework for mental programs.
Alan Turing presents the notion of a universal machine, later called the Turing machine, capable of computing anything that is computable.
Aside from a Turing machine, other equivalent(See: Church-Turing thesis) models of computation are in use.
So in principle, any problem that can be solved(decided) by a Turing machine can be solved by a computer that has a finite amount of memory.
In 1943 the Turing Machine was created by Alan Turing for theories about computing and computers.
Most importantly, it was a Turing complete machine,which just means it was capable of doing anything a theoretical single-taped Turing machine can do.
A theoretical model is the quantum Turing machine, also known as the universal quantum computer.
The Turing machine was first proposed by Alan Turing in 1936 and became the foundation for theories about computing and computers.
In 1936, Alan Turing proposed the concept of a universal machine, later to be dubbed the Turing machine, capable of computing anything that is computable.
This is provably impossible for a Turing machine[ clarification needed](and, by an informal extension, any known type of mechanical computer) to do;
It might seem that thepotentially infinite memory capacity is an unrealizable attribute, but any decidable problem solved by a Turing machine will always require only a finite amount of memory.
Computer scientists study the Turing machine because it is simple to formulate, can be analyzed and used to prove results, and because it represents what many consider the most powerful possible“reasonable” model of computation.
Except for the limitations imposed by their finite memory stores, modern computers are said to be Turing-complete,which is to say, they have algorithm execution capability equivalent to a universal Turing machine.
The statement that the halting problemcannot be solved by a Turing machine is one of the most important results in computability theory, as it is an example of a concrete problemthat is both easy to formulate and impossible to solve using a Turing machine.
Another important step in computability theory was Rice's theorem, which states that for all non-trivial properties of partial functions,it is undecidable whether a Turing machine computes a partial function with that property.
Since this theoretical simplest computer, a“Turing Machine”, can do anything the most complicated computer can do, then any machine that can do everything it can do can also perform any calculation a modern day computer can do, assuming we are ignoring memory sizes and the like(assuming infinite memory).
The most well-known method for testing machine intelligence is the Turing test.
This was an astonishing insight, foreshadowing the formalisation of the universal computing machine by Alan Turing almost a century later.
Computing Machinery and Intelligence"(1950) was the first published paper by Turing to focus exclusively on machine intelligence.
In order to pass a well designed Turing test, the machine would have to use natural language, to reason, to have knowledge and to learn.
The Turing test requires that the machine be able to execute all human behaviours, regardless of whether they are intelligent.
A critical aspect of the Turing test is that a machine must give itself away as being a machine by its utterances.