Z Advanced Computing, Inc.
Detailed 3D Image Recognition
with Cognitive Explainable-AI (CXAI)
using only few training samples
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 Cognitive Explainable-AI to machine learning, for the first time in the industry."
Bijan Tadayon, PhD
CEO & Co-Founder, ZAC
What We Do
Applying Cognitive Explainable-AI (CXAI) to Machine Learning for the first time in the industry
ZAC is a disruptive 3D image recognition & search platform based on Cognitive 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 is more robust and accurate, and it overcomes the major limitations in neural networks (e.g., Deep CNN & GAN), which are failing to recognize details beyond generic categories or classifications.
ZAC major Tech. breakthroughs
(Based on US Air Force and Bosch / BSH Projects)
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, 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.
Medical Imaging
(e.g., Pathology)
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
ZAC major tech & business advantages for Medical Imaging
low number
of training samples
higher accuracy, reliability & reproducibility
much less computation resources
Explainability of observed features
increasing daily physician performance
better patient care
reducing cost
Enabling Search by Image in e-Commerce
An example of future user interface for image recognition and search for future 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 (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 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
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
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
Marv Langston, Ph.D.
fmr. SVP of SAIC
first CIO of US Dept. of Navy
Business Advisor
Academic & Technical Advisors
Howard Univ. & Morgan State & Cornell
Fmr. Dean of Engineering, Morgan State U.; and
Fmr. Associate Dean of Research, Cornell Engineering
Univ. of Texas, San Antonio
Founding Director of NASA Center for Autonomous Control Engineering; and
US Army Science Board
University of Arizona
Inventor of LASIK; and
National Medal of Technology and Innovation (awarded by US President)
"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
September 11, 2023
beststocks.com
Cognitive XAI pioneer to transform Medical Imaging with Concept-Learning algorithms
September 26, 2023
AiThority
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
Bloomberg Government: "Pentagon Urged to Do More Against Biased Artificial Intelligence"
Google honors Prof. Lotfi Zadeh, who is also a ZAC inventor
December 4, 2021
November 30, 2021
PR Newswire
Other News on ZAC AI Breakthrough
March 2020
November 30, 2021
PR Newswire
July 28, 2021
AI MAGAZINE
July 27, 2021
PR Newswire
July 7, 2021
June 2, 2021
AiThority.com
Jun 01, 2021
PR Newswire
November 23, 2020
PR Newswire
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
Explainable-AI (Artificial Intelligence) Image Recognition Startup Pilots Smart Appliance with Bosch
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
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 ...
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