Ai One Presentation Semtech 2011 V3

941 views

Published on

ai-one presentation at SEMTECH 2011

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
941
On SlideShare
0
From Embeds
0
Number of Embeds
17
Actions
Shares
0
Downloads
7
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Ai One Presentation Semtech 2011 V3

  1. 1. Outline of discussionTopic-Mapper: ai-one for Text • ai-one technical overview • Topic-Mapper SDK API for building • Data organization and import • API Structure - interacting with Topic-Mapper Topic Mapper learning machines l • i hi Topic-Mapper command overview using automatic • API demonstration using BrainBoard lightweight ontologies June 2011 ai‐one™ biologically inspired intelligence © ai-one inc. 2011
  2. 2. “biologically inspired intelligence” biologically intelligence logic creativity© ai-one inc. 2011
  3. 3. The Technology | ai one description ai-one ai-one s ai 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 didnt know you wanted to ask…. y© ai-one inc. 2011
  4. 4. …ai-one … the secret of ai-one….! ai-one detects the intrinsic (inherent) semantic structure in any language with unsupervised learning!© ai-one inc. 2011© ai-one inc. 2011
  5. 5. Application - Lightweight Ontologies physical exercise smoking 0.9 0.9 lifestyle 0.75 0.9 0.6 stress obesity nutrition Lightweight ontologies may also be called associative networks© ai-one inc. 2011© ai-one inc. 2011
  6. 6. ai-one™ vs. traditional methods Full-fledged ontologies [Supervised learning] - Works only with detailed models - Language dependent, Sharing / reuse of ontologies [limited possibilities] - Based on models and reservations about the quality - Language dependent Folksonomies [WEB 2.0 / semantic WEB] - No controlled quality or validation - Often incomplete or not existent, language dependent existent© ai-one inc. 2011© ai-one inc. 2011
  7. 7. …ai-one … language is not math …. 1. Detects more words of higher relevance 2. Faster processing the corpus 3. 3 Much faster incremental updates = Faster implementation of semantic solutions© ai-one inc. 2011© ai-one inc. 2011
  8. 8. ai-one™ - Performance Comparison p© ai-one inc. 2011© ai-one inc. 2011
  9. 9. Case Study - SEMPER Project y j Concept Based Retrieval and Lightweight Ontologies The SEMPER Team is creating an interactive web interactive, based platform for out-patient assistance for alcohol dependency and work related disorders. "Learning a Lightweight Ontology for Semantic Retrieval i P ti t C t I f R ti l in Patient-Center Information S t ti Systems". " Prof. Dr. Ulrich Reimer, University of Applied Sciences St. Gallen et al. In this paper Prof. Reimer describes the use of ai-one (Association command) t l d) to learn associated nets of related t i t d t f l t d terms t b ild to build ‘lightweight ontologies” and then how they created “seed concepts” of over lapping related terms with the teaching commands to give the content a notion of relevance. A keyword query then resulted in the return of content that included related concepts. The paper also describes the testing of the ai-one approach versus the classical cosine similarity measure on a tf-idf document term matrix.© ai-one inc. 2011
  10. 10. The Fundamental Theory y USP of the Technology • Self optimized information processing  Self‐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 computing intelligence in computing Leads to:© ai-one inc. 2011© ai-one inc. 2011
  11. 11. I0I00I0II0I0III0I0I00II0II0I00II0I0II0I000II0I0II0I00II0I00II0I0II0I000I0II0I0II0I0I0II0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II00II0I0I00II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0I0I0I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00II0I0I00II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II0 ai-one ai one0II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II0I0I0I00III000I0I0III0II00I0II0I00I0I0I0I0I00I0IIII0I0I0I0II00I0II0I000II00II0II0I00II
  12. 12. Inherent Associations in a Corpus Terms “Christiano” and “Ronaldo” in corpus of 50 documents about the 2010 World Cup d t b t th W ld C© ai-one inc. 2011
  13. 13. ai-one SDKs | API for building learning machines g gTopic-MapperTopic Mapperai-one for Text APIUltra-Matchai-one for ImagesGraphalizer ai‐one “Sensors”ai-one for Signal Processing HSDS Text, Images, Signal Processing Smallest Input = Data Quant© ai-one inc. 2011
  14. 14. Our Product for Text | Topic Mapper SDK Topic-Mapper • Provides inherent semantic associative search and phonetic analysis • Human language independent g g p • Requires only basic structuring of input text • Ongoing/incremental learning • “teaching” via user defined contexts and relations© ai-one inc. 2011
  15. 15. Topic-Mapper Topic Mapper SDK | Description• ai-one™ core Text library (out-of-process COM server) – .NET 3.5 CLR wrapper (dll)• Small footprint instantiation (<700k)• API documentation• Developer’s guide• Code examples• BrainBoard B i B d workbench application f rapid proof of concept kb h li ti for id f f t development• Text focused support libraries and tools to assist in text preparation, processing, parsing, and l di i t ai-one i i d loading into i© ai-one inc. 2011
  16. 16. Topic MapperTopic-Mapper SDK | Semantic CommandsAssociationreturns the associative network for semantic t th i ti t kf ticorrelation 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 betweentwo input words (source and target);© ai-one inc. 2011
  17. 17. Topic-MapperTopic Mapper SDK | Semantic CommandsKeyWordsGiven a pointer t a context, return theGi i t to t t t thwords and a score indicating thesemantic significance between thewords and information contained withinthe context.PhoneticReturns list of words with phonetic similarity to the input word; includes ascore for each word.StatisticReturns frequency counts for input word; counts total occurrences, subtotal bystructures and includes handles for each structure. © ai-one inc. 2011
  18. 18. Topic Mapper Topic-Mapper SDK | Teaching Commands • StopWords{Get|Set|Erase}: maintenance of a stop word list. stop 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 from entities like thesauri, taxonomies, and ontologies.© ai-one inc. 2011
  19. 19. BrainBoard | The SDK prototyping & testing tool© ai-one inc. 2011
  20. 20. Working with us| Our Partner Program The ai one Partner Program is critical and inseparable from our ai-one mission to put “biologically inspired intelligence” in every computing device. Our mission is to build great technology and license it to IT p professionals so that they can use it to build the next y generation of software.© ai-one inc. 2011
  21. 21. 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-ones products and services. This category is for two types of partners: Consultants: domain specific business development IT professionals and p g p programmers: p j project management and g programming services to enterprise clients, government or to software vendors© ai-one inc. 2011
  22. 22. Partner Program | Advantages Benefits for Consulting Partners: g Branding: Unique, Innovative and Disruptive technology More sales: marketing support materials and lead generation support, Residual income: commissions for SDK license sales and up to five years of royalties Resources: P t R Partner community support for both programming it t f b th i and business development resources© ai-one inc. 2011
  23. 23. Partner Program | Industry & Technical Expertise© ai-one inc. 2011
  24. 24. Partner 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
  25. 25. ai-oneai one Technology and Programs Join us to begin building the next generation of computing solutions…© ai-one inc. 2011
  26. 26. Thank You!ai-one inc. ai-one ag ai-one gmbh5711 La Jolla Blvd Blvd., Flughofstrasse 55 55, Koenigsallee 35a 35a,Bird Rock Zürich-Kloten GrunewaldLa Jolla, CA 92037 8152 Glattbrugg 14193 Berlincell: +18585310674 cell: +41794000589 cell: +4915112830531main: +18583641951 main: +41448284530 main: +493047890050© ai-one inc. 2011© ai-one inc. 2011

×