IntelliScience has developed solutions that use learning algorithms which, when
trained by subject matter experts, recognize targets of interest. The IntelliScience
solutions retain the knowledge of that training and build knowledge bases that grow
and learn with repeated user and self training. As the system learns, it uses a
novel neuroanalytical processing technique in conjunction with the relevant information
of the learned and surrounding data to recognize new items or changes in items already
discovered, and presents them to the users and experts for their review, authentication
or action. Furthermore, the system uses its neuroanalytical processes to predict
or hypothesize targets not seen or trained before.
Furthermore, images in sequences can be surveyed for changes from priors, or changes
in retrospect. This opens huge arenas for application, ranging from real time medical
interventions and security screening to forensics. Laboratory demonstrations have
confirmed the ability to detect changes in biologic and inanimate structures from
catalysts and stimuli such as temperature, radiation, pressure, or chemicals.
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For Data Transformation, the proprietary, patent pending IntelliScience software
compares features of data within the data itself. This is done by running the software
application with preset algorithms on an entire data set. The software finds the
occult patterns by comparing characteristics of data with its neighboring data in
diverse groupings. The IntelliScience software can recognize hidden relationships
defined by the unique characteristics it finds and illuminate these patterns for
user consideration. In addition, the Data Transformation functionality works rapidly,
and requires a small computational footprint.
The Data Transformation functionality of the Intelliscience engine can be used in
a broad range of file formats and data types including volumetric or time sequenced
imaging and linear data streams such as seismic or financial data.
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IntelliScience has developed a layer of intelligent algorithms that leverage and
enhance the infrastructure of existing search technologies and deliver more relevant
and germane information – both known and unknown – to enable and discover new conceptual
relationships. Just like humans, the software “learns” - over time and use - about
concepts and relationships enabling an innovative text searching capability that
enables the user to drive the search of terms, phrases and concepts. Related terms
and concepts are discovered and presented naturally rather than being pushed to
them by website designers, industry manipulated keywords, page ranking or clustering
solutions. As the text search solution learns concepts it can make associations
with other concepts found automatically to rapidly assist researchers in finding
existing and new germane documents, web pages and communications. And since the
software is looking for concepts, not terms, it is language independent.
IntelliScience’s search technologies offer a revolutionary solution to the inherent
challenge of taxonomies. IntelliScience delivers dynamic, current data and information
association. When designed to interact with the search engines and applications
already in place within data and document stores, IntelliScience eliminates the
resource and time requirements of developing taxonomies by fulfilling the same associative
function as the taxonomy through direct examination and interaction with the data
and information.
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