ai-one presentation at SEMTECH 2011

1. Outline of discussion
Topic-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. “biologically inspired intelligence”
biologically intelligence
logic creativity
© ai-one inc. 2011

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
didn't know you wanted to ask….
y
© ai-one inc. 2011

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. 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. 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. …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. ai-one™ - Performance Comparison
p
© ai-one inc. 2011
© ai-one inc. 2011

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. 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

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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. ai-one SDKs | API for building learning machines
g g
Topic-Mapper
Topic Mapper
ai-one for Text
API
Ultra-Match
ai-one for Images
Graphalizer ai‐one
“Sensors”
ai-one for Signal Processing HSDS
Text, Images, Signal Processing Smallest Input = Data Quant
© ai-one inc. 2011

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. 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. Topic Mapper
Topic-Mapper SDK | Semantic Commands
Association
returns the associative network for semantic
t th i ti t kf ti
correlation with the (one or more) input words;
referred to as "brainstorm“
AssociationReverse
the inverse of Association; referred to as "focus“
AssociationCheck
returns a list of all associative paths between
two input words (source and target);
© ai-one inc. 2011

17. Topic-Mapper
Topic Mapper SDK | Semantic Commands
KeyWords
Given a pointer t a context, return the
Gi i t to t t t th
words and a score indicating the
semantic significance between the
words and information contained within
the context.
Phonetic
Returns list of words with phonetic similarity to the input word; includes a
score for each word.
Statistic
Returns frequency counts for input word; counts total occurrences, subtotal by
structures and includes handles for each structure.
© ai-one inc. 2011

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. BrainBoard | The SDK prototyping & testing tool
© ai-one inc. 2011

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. 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 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. 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. Partner Program | Industry & Technical
Expertise
© ai-one inc. 2011

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. ai-one
ai one Technology and Programs
Join us to begin building the next
generation of computing solutions…
© ai-one inc. 2011

26. Thank You!
ai-one inc. ai-one ag ai-one gmbh
5711 La Jolla Blvd
Blvd., Flughofstrasse 55
55, Koenigsallee 35a
35a,
Bird Rock Zürich-Kloten Grunewald
La Jolla, CA 92037 8152 Glattbrugg 14193 Berlin
cell: +18585310674 cell: +41794000589 cell: +4915112830531
main: +18583641951 main: +41448284530 main: +493047890050
© ai-one inc. 2011
© ai-one inc. 2011