ai one presentation semtech 2011 v3

Outline of discussion

• ai-one technical overview

Topic-Mapper: ai-one for Text

• Topic-Mapper SDK • Data organization and import• API Structure - interacting with Topic-MapperAPI for building l i hiAPI Structure interacting with Topic Mapper• Topic-Mapper command overview• API demonstration using BrainBoard

learning machines using automatic lightweight ontologies

ai‐one™June 2011

© ai-one inc. 2011

biologically inspired intelligence

“biologically inspired intelligence”biologically inspired intelligence

creativitylogic

© ai-one inc. 2011

The Technology | ai one descriptionThe Technology | ai-one description

ai one’s technology is an adaptive holosemantic dataspaceai-one s technology is an adaptive holosemantic dataspace (“biologically inspired intelligence”) that allows users to quickly analyze and discover meaningful patterns of interleaved text, time related data, and images. It provides complex AI with reasoning and learning capability.

… it provides answers to questions you didn't know you wanted to ask….y

© ai-one inc. 2011

…ai-one

… the secret of ai-one….!

ai-one detects the intrinsic (inherent) semantic structure in any language with unsupervisedstructure in any language with unsupervised learning!

© ai-one inc. 2011© ai-one inc. 2011

Application - Lightweight OntologiesApplication - Lightweight Ontologies

physical exercise smoking

0.90.9

lifestyle

nutritionstress

0.90.6

0.75

obesity nutritionstress

Lightweight ontologies may also be called associative networks


ai-one™ vs. traditional methods

Full-fledged ontologies [Supervised learning]- Works only with detailed models- Language dependent,Language dependent,

Sharing / reuse of ontologies [limited possibilities]- Based on models and reservations about the quality- Language dependent- Language dependent

Folksonomies [WEB 2.0 / semantic WEB]- No controlled quality or validation

Often incomplete or not existent language dependent- Often incomplete or not existent, language dependent


…ai-one

… language is not math ….

1. Detects more words of higher relevance2. Faster processing the corpus3 Much faster incremental updates3. Much faster incremental updates

=Faster implementation of semantic solutions


ai-one™ - Performance Comparisonp


Case Study - SEMPER Projecty jConcept Based Retrieval and Lightweight Ontologies

The SEMPER Team is creating an interactive webThe SEMPER Team is creating an interactive, webbased platform for out-patient assistance for alcoholdependency and work related disorders.

"Learning a Lightweight Ontology for SemanticR t i l i P ti t C t I f ti S t "Retrieval in Patient-Center Information Systems".

Prof. Dr. Ulrich Reimer, University of Applied Sciences St. Gallen et al.

In this paper Prof. Reimer describes the use of ai-one (Associationd) t l i t d t f l t d t t b ildcommand) to learn associated nets of related terms to build

‘lightweight ontologies” and then how they created “seed concepts”of over lapping related terms with the teaching commands to givethe content a notion of relevance. A keyword query then resulted inthe return of content that included related concepts.

The paper also describes the testing of the ai-one approach versusthe classical cosine similarity measure on a tf-idf document termmatrix.

© ai-one inc. 2011

The Fundamental TheoryyUSP of the Technology

• Self‐optimized information processingSelf optimized information processing • Self‐controlled content organization• Multiple higher‐order concept formation• Autonomic learning via multiple context recognition g p g• Self‐generalizing of learned concepts

Biologically inspired intelligence in computingintelligence in computing

Leads to:


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ai-one

Inherent Associations in a CorpusInherent Associations in a Corpus

Terms “Christiano” and “Ronaldo” in corpus of 50 d t b t th 2010 W ld C

© ai-one inc. 2011

documents about the 2010 World Cup

ai-one SDKs | API for building learning machines

Topic Mapper

| g g

Topic-Mapperai-one for Text

APIUltra-Match

ai-one for Images

ai‐oneHSDS“Sensors”Graphalizer

ai-one for Signal Processing HSDS

Text, Images, Signal Processing Smallest Input = Data Quant

© ai-one inc. 2011

Our Product for Text | Topic Mapper SDKOur Product for Text | Topic-Mapper SDK

Provides inherent semantic associative search and• Provides inherent semantic associative search and phonetic analysis

• Human language independentg g p• Requires only basic structuring of input text• Ongoing/incremental learning• “teaching” via user defined contexts and relations

© ai-one inc. 2011

Topic Mapper SDK | Description

• ai-one™ core Text library (out-of-process COM server)

Topic-Mapper SDK | Description

– .NET 3.5 CLR wrapper (dll)• Small footprint instantiation (<700k)• API documentationAPI documentation• Developer’s guide• Code examples

B i B d kb h li ti f id f f t• BrainBoard workbench application for rapid proof of concept development

• Text focused support libraries and tools to assist in text preparation, i i d l di i t iprocessing, parsing, and loading into ai-one

© ai-one inc. 2011

Topic-Mapper SDK | Semantic CommandsTopic Mapper SDK | Semantic Commands

Associationt th i ti t k f tireturns the associative network for semantic

correlation with the (one or more) input words; referred to as "brainstorm“

AssociationReversethe inverse of Association; referred to as "focus“

AssociationCheckreturns a list of all associative paths betweenreturns a list of all associative paths between two input words (source and target);

© ai-one inc. 2011

Topic Mapper SDK | Semantic CommandsTopic-Mapper SDK | Semantic Commands

KeyWordsGi i t t t t t thGiven a pointer to a context, return the words and a score indicating the semantic significance between the words and information contained within the context.

PhoneticReturns list of words with phonetic similarity to the input word; includes a score for each word.

StatisticReturns frequency counts for input word; counts total occurrences, subtotal by structures and includes handles for each structure.

© ai-one inc. 2011

Topic-Mapper SDK | Teaching Commands

• StopWords{Get|Set|Erase}: maintenance of a stop word list. stop

Topic Mapper SDK | Teaching Commands

words are words found in the dataspace, but not used for any of the semantic commands.

• Context{Get|Set|Erase|Find}: maintenance of contexts; contexts are bags of words which, by definition, have a strong relation among themselves.

• ContextTighten: increases the semantic relation within the reference handle

• Relation{Get|Set|Erase|Find}: maintenance of relational triple: subject, object and predicate. Used to teach explicit relationships ffrom entities like thesauri, taxonomies, and ontologies.

© ai-one inc. 2011

Working with us| Our Partner ProgramWorking with us| Our Partner Program

The ai one Partner Program is critical and inseparable from ourThe ai-one Partner Program is critical and inseparable from our mission to put “biologically inspired intelligence” in every computing device.

Our mission is to build great technology and license it to IT professionals so that they can use it to build the next p y

generation of software.

© ai-one inc. 2011

Partner Program | Consulting and IT Services Partners

This program is for individuals and firms that provide pre-sales consulting and post-sales implementation around ai-one's products and services. This category is for two types of partners:

Consultants: domain specific business development

IT professionals and programmers: project management and p p g p j gprogramming services to enterprise clients, government or to software vendors

© ai-one inc. 2011

Partner Program | AdvantagesPartner Program | Advantages

Benefits for Consulting Partners:g

Branding: Unique, Innovative and Disruptive technologyMore sales: marketing support materials and lead generationMore sales: marketing support, materials and lead generationResidual income: commissions for SDK license sales and up to five years of royaltiesR P t it t f b th iResources: Partner community support for both programming and business development resources

© ai-one inc. 2011

Partner Program| OEM PartnersPartner Program| OEM Partners

The OEM Partner program is for integrators, VARs, ISVs and other IT firms that provide complete solutions to their customers with embedded ai-one technology.

The OEM Partner is our customer and our mission is to help them build innovative solutions for their customers.

© ai-one inc. 2011

ai one Technology and Programsai-one Technology and Programs

Join us to begin building the nextJoin us to begin building the next generation of computing solutions…

© ai-one inc. 2011

Thank You!

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ai one presentation semtech 2011 v3

Documents

use of ai

complex ai

discussion ai

secret of ai

language dependent ai

descriptionthe technology

associative networks

performance comparisonp