Maryland-based cognitive expandable-AI (Cognitive XAI) software startup Z Advanced Computing, Inc. (ZAC) has won its third US Air Force (USAF) contract for its detailed 3D image recognition.
For the USAF projects, ZAC had demonstrated major AI and Machine Learning (ML) breakthroughs, including using only a few training samples, and using only an average laptop (using only CPU), for both training and recognition. In addition, ZAC has got similar major AI tech breakthroughs for the Smart Appliance project with Bosch/ BSH (the biggest appliance maker in Europe). ZAC tech is based on Cognitive Concept-Learning (as opposed to Pixel-Learning, by other algorithms). This is in sharp contrast to the other algorithms in industry that require thousands to billions of training samples, trained on large GPU servers.
“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. Deep CNN is also very fragile and is easily fooled, with no explainability for its output,” emphasized Dr. Bijan Tadayon, CEO of ZAC.
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.
