University of San Diego UCSD

© Hoffleisch/Diggelmann & semantic system ag 1985 - 2009

semantic system ag

Technology Vendor for Biologically Inspired

Intelligence

semantic system agZurich-Switzerland

semantic system ag


• semantic system ag• General Introduction• ai-oneTM, the new approach• Benefits of the new approach• Business model of the new approach• Outlook

Agenda

BII (Biologically Inspired Intelligence)

semantic system ag


Founded: Dec. 2002, private limited company

Management: Walter Diggelmann CEO (1960)

Thomas Diggelmann CTO (1984)

Manfred Hoffleisch Head of R&D (1949)

Team: 3 engineers, core team

4 freelance engineers/consultants

Focus: Vendor for basic technologies

Sales Model: OEM license deals

Head Offices: Zürich, Switzerland

US Offices: San Diego, CA in planning

The Company


semantic system ag



Agenda


semantic system ag


The Semantic Wave | WEB 3.0

Mills Davis.. a multi billiondollar market…

The Market Request


semantic system ag


Today200519951985

New Computing

Traditional Computing

2009

The Technology Request

Evolution and speed in semiconductor development


semantic system ag


• the rules are the knowledge and the code

• but knowledge acquisition is the bottleneck

• the network is the knowledge and the code

• automatic learning and adaptation

© Copyright by semantic system ag

< 1990 1990 1995

The Road MapThe Road MapFrom Formal Data Processing to Biologically Inspired IntelligenceFrom Formal Data Processing to Biologically Inspired Intelligence

Historical Advanced

• separation of data from code

• dumb data• intelligent code


Biologically Inspired Intelligence

2009 <

The Intelligence QuestThe Intelligence Quest

VisionaryInnovative

Neural NetworksRule-Based

SystemsTraditional Data

Processing

• self-optimized• self-controlled• autonomic learning • self-generalizing • multiple higher-order concept recognition

semantic system ag



Agenda


semantic system ag


ai-one™ approach Known problems with the existing neural approach

• Over learning• Resources problem• Uncontrolled fuzziness• Random results• Not discrete• Confusing thresholds and layers• Pre-setups and configurations

Old vs. New


• Solved …………………... >• Solved …………………... >• Solved …………………... >• Solved …………………... >• Solved …………………... >• Solved …………………... >• Solved …………………... >

Solving all the problems of the existing neural concepts Solving all the problems of the existing neural concepts enables us to shift the old computer paradigm to:enables us to shift the old computer paradigm to:

semantic system ag


Old Computing Paradigm:•Data is dumb•Programs are intelligent

New Computing Paradigm:•Data contains intrinsic information•Programs are used for communicating between humans and the machine•The intelligence in computing is found in the dialog (interaction) between the user and data

The Paradigm Change


semantic system ag


The USP of the ai-oneTM Approach

• Self-optimized information processing Self-optimized information processing • Self-controlled content organizationSelf-controlled content organization• Multiple higher-order concept formationMultiple higher-order concept formation• Autonomic learning via multiple context recognition Autonomic learning via multiple context recognition • Self-generalizing of learned conceptsSelf-generalizing of learned concepts

Biologically inspired Biologically inspired intelligence in computingintelligence in computingLeads to:Leads to:

Total control and understanding the behavior of Total control and understanding the behavior of the neural cells in the holosemantic data space the neural cells in the holosemantic data space

ai-one™ the easy way of making intelligent applications


semantic system ag


Donald. O. HebbFrank Rosenblatt

Neural TraditionalJohn von Neumann

Harvard Concept

Both strategies did not solve the challenge of dynamic Both strategies did not solve the challenge of dynamic and self-controlled generalizing information concepts and self-controlled generalizing information concepts

for further application, so far…for further application, so far…

The Traditional Approach


semantic system ag


Neural Traditional

ai-one™

The holosemantic data space enhances and enables formal computing with semantic,

associative and semiotic functions!

We call it: Biologically Inspired Intelligence

The USP of the ai-oneTM Approach


semantic system ag


… recognizing the content… understanding the meaning and

generalizing its application… deciding about its importance… knowing what to do with this

learned information

…ai-one™ – the next evolution stage in ICT?


semantic system ag



Agenda


semantic system ag


PNL-Matcher Powered by ai-oneTM Airline companies are required to check the PNL

(Passenger name List) of the different flights against the different lists. semantic system ag supplied one of the the largest airlines ground handling services company with the PNL-Matcher, which is used at the JFK, FRA, ZHR airports to match the different lists .

semantic system ag


DR-Robot Powered by ai-oneTM

Intelligent dialogue robot for training and education with an interface in natural language

semantic system ag


Without any prior processing of the data ai-oneTM is able to separate noise from significant patterns and find exclusive anomalies in time correlated value chains.

Graphalizer Powered by ai-oneTM

Intelligent recognition of patterns in time related value chains

semantic system ag


ASTISTM Powered by ai-oneTM

Automatic shoe track information system

For recognition and matching of crime scene shoe prints

semantic system ag


Crime scene patterns always are in low quality, particularly shoe prints! Due to its ability to generalize by understanding the multiple higher-order concept formation, ASTIS™ is the first application worldwide which offers a solution to this task.

ASTISTM Powered by ai-oneTM

Why ASTIS™ beats the the competition:

semantic system ag


UltraMatchTM Powered by ai-oneTM

Why ASTIS™ beats the the competition:SignaturesHandwriting Ballistic PatternBlood PatternTool Pattern

semantic system ag


Skin-Matcher Powered by ai-oneTM

Linoan AG is developing a handheld device to scan skin patches of clients. These scans are the basis for analyzing the skin type. The skin type then is converted into a profile and can be used to find the adequate cosmetic therapy. Hereby the profile is matched against cosmetic products and the system recommends the optimal treatment.

semantic system ag



Agenda


semantic system ag


By using the ai-one™ application programming interface (API) and the libraries, engineers and application designers will save a lot of time and effort to produce their intelligent applications. Furthermore, these will feature the new superior biologically inspired intelligence .

ai-one™ the easy way of making intelligent applications

semantic system ag


ai-one™ API / LIBai-one™ API / LIB


semantic system ag


Huge Marketsai-one™

Technology

UltraMatch™Imaging

Topic-Mapper™ Data & Language

ai-one™

Biometrics Forensics Cosmetics

Medical

ASTIS™

Ballistics

Tool tracks

Tire tracks

Fingerprint

Face

Signature

Retina

AFIS

DNA

Skin

Radiology

other

other

other

other

SEARCH

Web 3.0

SEARCH

Semantic

Semiotic

Data Mining

KM/AI

Coporate

ai-one™

Robotics

ai-one™ in combination with UltraMatch™ is the biologically inspired intelligence API & library for imaging

ai-one™ in combination with Topic -Mapper™ is the biologically

inspired intelligence API & library for data &

language


semantic system ag


3 integration levels

End-users: multiple branches and verticals

Level 1

Level 2

Level 3Solution Consulting

Solution Providers

Application Vendors

Database Vendors

Software Vendors (OS)

Hardware Vendors

semantic system ag

The Licensing Model


semantic system ag



Agenda


semantic system ag


Science

ai-one™ Outlookai-one™ Outlook


Software Hardware

… Partners in the US ?


semantic system ag

Thank You!

semantic system agZurich-Switzerland

Date post:	09-Jun-2015
Category:	Business
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