Detailed 3D Image Recognition with Explainable-AI
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)
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.
fmr. IBM Executive
Rob Sobhani, Ph.D.
Marketing & e-Commerce
Marv Langston, Ph.D.
fmr. SVP of SAIC
first CIO of US Dept. of Navy
Academic & Technical Advisors
"we live in a world that is pervasively imprecise, uncertain, and hard to be categorical about."
Late Professor Lotfi Zadeh, Ph.D. (1921-2017)
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
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 ...
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
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...
Get in Touch
For Technology Demo, please contact us.
11204 Albermyrtle Road
Potomac, MD 20854