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Detailed 3D Image Recognition
with Cognitive Explainable-AI (CXAI)
 

The only company to achieve training with only few samples (typically 5 to 50), similar to humans

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Today's Challenge

Various industries have major problems with the current AI/ML tech:

(e.g., Neural Nets, such as Deep Convolutional Neural Net (CNN), ResNet, GAN, LLM)

  • needs too many training samples, which is expensive and hard to get

  • inaccurate, flakey, and fragile output/ result

  • needs expensive hardware (large GPU), with large physical footprint

  • needs lots of energy/ battery, with large Carbon footprint, which is both expensive and bad for the environment

  • fails to recognize objects beyond generic categories and classifications

  • fails to detect one-offs or learn rare events

Home: Today Challenge

"We are removing limitations in image recognition...We have figured out how to apply Cognitive Explainable-AI to Machine Learning, for the first time in the industry, which beats Neural Networks."

Bijan Tadayon, PhD, JD
CEO & Co-Founder,  ZAC

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Home: What we do
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What We Do

ZAC disruptive 3D Image Recognition & Search based on Cognitive Explainable-AI (CXAI)

  • ​​developed and demonstrated, e.g., in projects for Bosch/ BSH and US Air Force, including Intelligent Tracking with Video Summarization

  • mimics how humans discover, recognize, and learn, using Concept Learning​​​​

Major advantages over other AI/ML algorithms

  • higher accuracy (more robust/ reproducible)

  • using only a few training samples (typically 5 to 50) (instead of 1000s, millions, or billions)

  • recognizes fine details of objects from any view direction (in 3D) in still image or video

​​

  • requires much less computation resources (CPU/ GPU) to run, which costs much less

  • requires much less energy/ battery, with less Carbon footprint, which costs much less & also much better for the environment

  • much smaller physical footprint (ideal for mobile or edge computing)

​​​​

  • reusable, modular, cumulative, and scalable learning​​

  • Abstraction & Generalization of Concepts

  • Multi-Modal Learning & Recognition

  • discovery of one-offs, rare events, and anomalies

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ZAC major AI/ML tech breakthroughs

(Based on US Air Force and Bosch / BSH Projects)

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Home: Breakthroughs
Home: Comparison Table

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 within video or still images, e.g., for medical imaging/diagnosis, drug discovery, e-commerce/retail, search engine, referral and ad networks, social networks, smart home/appliance, defect and anomaly detection for manufacturing and construction, 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, aerial and satellite images, and military and intelligence applications.

Home: Many Verticals
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Medical Imaging

(e.g., Pathology)

Home: Medical Imaging

ZAC solution for Pathology

(to assist physicians/pathologists)

Challenges in Pathology

(examples)

  • Pathologists need to pay attention to too many details in a short or limited time

  • Large number of complex images to examine

  • Interpretation/ review of pathologic images is a tedious process and prone to possible inaccuracies, due to fatigue

ZAC Medical Image Solution for Pathology

(future product)

  • Automated analysis of complex pathological images, to help pathologists make a more accurate description and conclusion

  • Enhances workflow & throughput, thereby, improving accuracy and performance of the physician & reducing the cost

  • Reduces wait time for diagnosis

Home: Pathology

ZAC major tech & business advantages for
Medical Imaging

low number
of training samples

low number of training samples

higher accuracy, reliability & reproducibility

higher accuracy

much less computation resources

less resources needed

Explainability of observed features

Explainability

increasing daily physician performance

increasing performance

better patient care

better patient care

reducing cost

reducing cost
Home: Medical Tech Bus Advantage

Enabling Search by Image in e-Commerce

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

Home: eCommerce
Home: Shoe Search Video

About us in 100 seconds...

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

Home: About Us Video 100 sec

Team

(Executive Team)

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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 (an encryption/DRM startup), a Xerox PARC spin-off, invested by Microsoft, Time Warner, and Thomson, with about $1B valuation at the time

  • Cofounded multi-media software game company

  • More than 90 technical journal publications and presentations and more than 100 pending or issued patents worldwide

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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

  • Cofounded multi-media software game company

  • Designed & fabricated the fastest transistor in the world in its class (GaAs HBT) at Comsat Lab

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

  • Consulting IT Architect at IBM

  • Senior Software Developer at Nextone Communications

  • Senior Member of Technical Staff at Comsat Laboratories

Home: Exec Team Members
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Mahnaz Dean, Ph.D.

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

    Ph.D. in Public Admin., USC

fmr. IBM Executive

Co-Founder

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Rob Sobhani, Ph.D.

Entrepreneur
Adjunct Prof., Georgetown Univ.

Marketing & e-Commerce

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US Government Advisor & DoD Liaison

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Marv Langston, Ph.D.

fmr. SVP of SAIC

first CIO of US Dept. of Navy

Business Advisor

Home: Team Members

Academic & Technical Advisors

Home: Academic Team Members
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Fmr. Vice Provost for Research

Caltech

Prolific Entrepreneur & Inventor

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Fmr. Sr. Vice Provost for Research
Cornell University

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Howard Univ. & Morgan State & Cornell

Fmr. Dean of Engineering, Morgan State U.; and

Fmr. Associate Dean for Research, Cornell Engineering

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Univ. of Texas, San Antonio

Fmr. Founding Director of NASA Center for Autonomous Control Engineering; and

US Army Science Board

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Iona College, New York

Director of the Machine Intelligence Institute

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University of Arizona

Inventor of LASIK; and

National Medal of Technology and Innovation (awarded by US President)

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"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

Home: Prof Zadeh
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Media & Press Updates

Home: News

July 12, 2024

PR Newswire

July 12, 2024

PR Newswire

September 11, 2023

mediacoverage.com

Cognitive XAI pioneer to transform Medical Imaging with Concept-Learning algorithms

September 26, 2023

July 18, 2023

AI-Tech Park

July 16, 2023

AuntMinnie.com

July 18, 2023

Startup Weekly

September 5, 2023

PR Newswire

July 17, 2023

PR Newswire

July 21, 2022

Entrepreneurship at Cornell (Linkedin) pdf

July 19, 2022

May 11, 2022

PR Newswire

May 10, 2022

PR Newswire

ZAC is highlighted by Bloomberg for ZAC Cognitive AI, following its Machine Learning / AI breakthroughs

May 2, 2022

Google honors Prof. Lotfi Zadeh, who is also a ZAC inventor

December 4, 2021

November 30, 2021

PR Newswire

AiThority.com

Other News on ZAC AI Breakthrough

March 2020

November 30, 2021

PR Newswire

AiThority

July 28, 2021

AI MAGAZINE

July 27, 2021

July 7, 2021

June 2, 2021

AiThority.com

Jun 01, 2021

PR Newswire

November 23, 2020

October 5, 2020

PR Newswire

September 28, 2020

CIOReview

September 14, 2020

PR Newswire

April 30, 2020

TechTarget - Search Enterprise AI

Including an Interview with Bijan Tadayon, CEO of ZAC

TechTarget - LeMagIT (French)

March 23, 2020

PR Newswire

Feb. 18, 2020

Forbes

November 5, 2019

TechStartups.com

November 4, 2019

PR Newswire

Other News on ZAC Explainable-AI for Smart Home

November 4, 2019

Aug 31, 2019

AITopics, An Official Publication of the AAAI

Aug 30, 2019

SAE MOBILUS

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 29, 2019

AIR FORCE TECHNOLOGY

Aug 28, 2019

MILITARY EMBEDDED SYSTEMS

MilitaryAI

Aug 28, 2019

ExecutiveBiz

Aug 28, 2019

Smart2Zero by European Business Press

ZAC Explainable-AI in Other News (2)

Aug. 2019

ZAC Explainable-AI in Other News (1)

Aug. 2019

Aug 27, 2019

PR Newswire

May 2, 2019

AIBusinessCase.ai

June 25, 2018

GovernmentCIO Magazine

... 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

Analytics India Magazine


... 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

The Washington Times

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 22, 2018

PR Newswire

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

Tech Startups


... 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...

April 18, 2018

PR Newswire

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.

January 11, 2017

PR Newswire

April 11, 2016

TechRepublic

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...

March 29, 2016

PR Newswire

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.

Maryland, USA

(301) 294-0434

Home: Contact

Aerial Vision Product/Service

For ZAC Aerial Vision (object recognition) product/service commercial application licensing, please contact us.

Home: Aerial Vision
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