Z Advanced Computing, Inc. the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI) software startup, has won multiple contracts for the detailed 3D image recognition (from any angle) from the US Air Force (USAF). In a recent article (May 2, 2022), Bloomberg discussed the reliability and the problem of bias in Artificial Intelligence and Machine Learning (ML) in many applications, particularly for the Department of Defense (DOD). In this context, Bloomberg Government has highlighted ZAC technologies and algorithms, in contrast with the other technologies and algorithms in the industry:
demonstrated using only a few training samples, and using only an average laptop (using only CPU)
Since 2019, ZAC has had major AI and Machine Learning (ML) tech breakthroughs in the projects for the USAF (detailed 3D Aerial Object Recognition) and Bosch/ BSH (the biggest appliance maker in Europe) (Smart Appliances), demonstrated using only a few training samples, and using only an average laptop (using only CPU), for both training and recognition.
“This cannot be done with the other algorithms, such as Deep Convolutional Neural Networks (CNN) or ResNets, even with an extremely large number of training samples on a large number of GPU servers,” emphasized Dr. Bijan Tadayon, CEO of ZAC.
Also Read: Opsera Announces Partnership with Mindtree to Accelerate DevOps Initiatives
Some applications are: autonomous vehicles, e-commerce, ads, medical, satellite/aerial imaging, security, and smart homes/ appliances.
ZAC owns a very strong IP portfolio with over 450 inventions, including 13 issued US patents.
ZAC has an impressive team of scientists and developers. The development is headed by Saied Tadayon, a scientist and veteran software developer, and a math prodigy who ranked 1st as an undergrad at Cornell, and got his PhD from Cornell at age 23.