When we present mARC, as a symposium or congress, we
comment on a 3D short film showing how mARC works.
We present in this article :
- A definition of terms,
- An illustrative example,
- The benefits of mARCTM .
Definitions:
An associative
memory device is functionally equivalent to a traditional RAM or ROM. It
stores binary data, regardless of the nature of these data.
The only difference is
in how data is accessed :
· In
a RAM the binary data is accessible by an address representative of where the
data is stored;
· In
an associative memory data is also accessible by address, but especially via data of the same nature as the data stored in memory.
memory Association by
Reinforcements of Contexts”, a mARCTM goes beyond traditional
“Associative memory” with “Enhanced Context” as mARCTM uses
a method of detecting universal and binary contexts to organize, store and retrieve
data.
A context is
a set of data connection connected to each others.
A connection is
a relationship of any kind between data, and implicitly carried by the flow
of stored data.
Example:
For text data,
"Red Sea" is a close spatial relationship,
"pressure bar" and "drink bar" associative relationships
represent latent semantic type of language,
"s" (plural) and " " (singular) is a language syntax relationship,
"e" and "e" or "ê" express similarity relations
between topological forms etc. ....
Benefits of a mARCTM
1 - Data Independence: In
essence, a mARCTM acts as a signal processing device,
independent of the nature thereof.
For example, a signal represented by a stream of
text characters, mARCTM‘s contextual storage is language independent.
2 - Speed of Access: Context
data speed of access is greater than, at least, one order of
magnitude with respect to a RAM.
3 - Adaptativity: The
input data can be recognized, even if they are noisy, provided contextual
information allows. Partially altered information can be reconstituted.
4 - Compactness: A
mARCTM self-regulates its space by factorising context internally,
and ensures a representation as compact as possible of stored data. According to the nature of the implicit relationships of data, the representation provides maximum growth of (0) Log (n).
The more data are
"naturally correlated”, in any way, the more the memory need will be low.
Typically, for textual data, the need for storage
varies between (0) (n) at the beginning of storage, and (0) Log (n) at intermediate
stage, to become asymptotically constant beyond a certain "critical
mass".
5 - Easy programming: Once
an information system needs a contextual data processing context, this process is fully
supported by the mARCTM, simplifying the programming of
such applications.
@ Soon
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