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Detailed 3D Image Recognition with Explainable-AI

 

Today's Challenge

Detail is Everything!

Details (fine features) are must-have in useful image recognition and search for consumers or users to get what they want, e.g., in e-commerce.

The major limitation today is failing to recognize details beyond generic categories or classifications.

Other technologies are failing to learn and detect the fine details of 3D objects.

The existing AI technologies in industry are based on variants of neural network technologies which not only require many training samples for machine learning, but also produce only generic level output. Their structure, as well as the training approach, prevent machine learning of fine details, where the interesting features usually reside.

 

"We are removing today's barriers and limitations in image recognition...We have figured out how to apply Explainable-AI to machine learning, for the first time in the industry."

Bijan Tadayon, PhD
CEO & Co-Founder,  ZAC

 

What We Do

Applying Explainable-AI to Machine Learning for the first time in the industry

ZAC is a disruptive 3D image recognition & search platform based on Explainable-AI. 


The platform mimics how humans discover, recognize, and learn. 

We require only a few training samples, with reusable, modular, cumulative and scalable learning, enabling the technology to detect fine details in images taken at various camera angles (3D). 

Our technology overcomes the major limitations in neural networks (e.g., Deep CNN & GAN), which are failing to recognize details beyond generic categories or classifications.

Our horizontal platform features tools and APIs to enable wide variety of vertical applications and industries to take advantage of the platform's efficient, detailed, and accurate recognition and search, e.g., for medical imaging/diagnosis, e-commerce/retail, search engine, referral and ad networks, social networks, learning machines, data mining, knowledge extraction & analytics, big data (e.g., generated from sensors, cameras, wearables, or IoTs), video summarization or search, self-driving/autonomous vehicles, biometrics, security, and military and intelligence applications.

 
 

Search in e-Commerce

An example of user interface for image recognition and search for e-commerce.

 

About us in 100 seconds...

introduced by Major General Duane Jones, US Air Force (retired)

 

Team

(Executive Team)

Bijan Tadayon, Ph.D., J.D.

Entrepreneur & AI Scientist

CEO & Co-Founder

BS, Appl. Physics, Cornell U., ranked 2nd

PhD, Electrical Eng, Cornell U.

JD, Georgetown Law  

  • Prolific innovator and entrepreneur in multiple startups, e.g., Contentguard with about $1B valuation, invested by Xerox PARC, Microsoft, Time Warner, and Thomson

  • Cofounded multi-media software game company

  • More than 80 technical journal publications and presentations and more than 100 pending or issued patents worldwide

Saied Tadayon, Ph.D., J.D.

Entrepreneur & AI Scientist

CTO & Co-Founder

BS, Appl. Physics, Cornell U., ranked 1st

PhD, Electrical Eng, Cornell U. (at age 23)

JD, Georgetown Law

  • Prolific innovator and entrepreneur in multiple startups 

  • Designed & fabricated the fastest transistor in the world in its class

  • Software/system design and development in multiple technologies (game, AI, semiconductor, electronics) and multiple industries (telecom, government, energy)

  • Consulting IT Architect at IBM

 

Mahnaz Dean, Ph.D.

​    M.Eng. in Robotics Vision, Cornell U.

    Ph.D. in Public Admin., USC

fmr. IBM Executive

Co-Founder

Rob Sobhani, Ph.D.

Entrepreneur

Marketing & e-Commerce

US Government Advisor & DoD Liaison

Marv Langston, Ph.D.

fmr. SVP of SAIC

first CIO of US Dept. of Navy

Business Advisor

 

Academic & Technical Advisors

 

Vice Provost for Research

Caltech

Entrepreneur & Inventor

Fmr. Sr. Vice Provost for Research
Cornell University

Univ. of Texas, San Antonio

Founding Director of NASA Center for Autonomous Control Engineering; and

US Army Science Board

Iona College, New York

Director of the Machine Intelligence Institute

15047570492875643676_1000x669_edited.jpg

"we live in a world that is pervasively imprecise, uncertain, and hard to be categorical about."

Late Professor Lotfi Zadeh, Ph.D. (1921-2017)

U.C. Berkeley

ZAC contributing inventor

Father of Fuzzy Logic.

Artificial Intelligence Hall of Fame.

Member of Academy of Sciences in 7 countries.

Inventor of Computation-with-Words, Z-Transform, Soft Computing, Z-number.

More than 50 international awards, e.g.:

     - Honda Prize

     - IEEE Medal of Honor

     - ACM Award for seminal contributions to AI

     - Golden Goose Award, by AAAS & US Congress

 

Media & Press Updates

 

Other News on ZAC Explainable-AI for Smart Home

November 4, 2019

Aug 31, 2019

AITopics, An Official Publication of the AAAI

CONTRACT NEWS IN BRIEF:

Z Advanced Computing (ZAC) has received funding from the US Air Force (USAF)

August 29, 2019

BATTLESPACE

Aug 29, 2019

Intelligence Community News

Aug 28, 2019

MILITARY EMBEDDED SYSTEMS

Aug 28, 2019

Smart2Zero by European Business Press

June 25, 2018

... ZAC's feat with general-AI could represent an important step toward the next generation of AI. For one thing, it seems to be just the kind of thing the Defense Department is looking for with its Project Maven ...

June 19, 2018

... Some of the applications include ... remote sensing for automated recognition of possible hostile terrain to generate maps ...

Defense Systems Digest, June 19, 2018 (PDF)

July 25, 2018

... they have bypassed the standard deep neural networks techniques ...

June 9, 2018

... Now think of the applications... there are billions, literally...

June 1, 2018

Researchers in Maryland claim to have made a significant step forward in machine learning, and it has potentially game-changing consequences to enterprise in general...

May 29, 2018

A team of researchers from Maryland say they’ve invented a general artificial intelligence way for machines to identify and process 3-D images...

May 16, 2018

... To overcome this challenge, Maryland based Z Advanced Computing has come up with an innovative technology using AI and Machine Learning to provide computer vision systems with an ability to recognize such 3D objects from any view or angle ...

April 19, 2018

... 3-D object recognition has many industrial applications and applications in our daily lives.... 3D object recognition has been one of the challenging processes facing computer vision systems. One Maryland-based startup may finally have the answer to the problem...

October 17, 2017

PR Newswire

Note: The 2017 Golden Goose Award Ceremony is organized by the American Association for the Advancement of Science (AAAS) and other scientific organizations. Click here for 2017 Golden Goose Award Documentary Short Film.

April 11, 2016

A new machine learning platform will produce ads that will connect customers to the exact shoe or clothing product they are looking for using image recognition to target specific products...

January 2016

Z Advanced Computing got funding from the State of Maryland (TEDCO) for its revolutionary machine learning technology and artificial intelligence discovery platform.

Get in Touch

For Technology Demo and licensing, please contact us.

11204 Albermyrtle Road
Potomac, MD 20854
USA

(301) 294-0434