Zac Cognitive Xai Algorithms 61b3888ab9721

USAF Signs Startup for 3D Image-Recognition Software

Dec. 10, 2021
ZAC's cognitive, explainable AI software impressed the U.S. Air Force with its image-recognition capabilities enough to award the startup a second contract.

The U.S. Air Force (USAF) was so impressed by the brief time and rapid learning process shown during a demonstration of three-dimensional (3D) image-recognition software, it awarded a second contract to startup software company Z Advanced Computing, Inc. The company is a pioneer in the development of cognitive explainable artificial intelligence (Cognitive XAI) software, which combines artificial intelligence (AI) and machine learning (ML) techniques for 3D object/image recognition from any angle. The software is effective using only a few training samples and without need of an overly powerful laptop computer for data processing.

The short training cycle for the software is in contrast to many object/image recognition programs that run on large servers and require thousands or even millions to billions of training samples for effective 3D object recognition, especially at different angles. Dr. Bijan Tadayon, the chief executive officer (CEO) of ZAC, said: “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 or a large number of GPU servers.” Dr. Saied Tadayon, Chief Technology Officer (CTO) of ZAC, added: Deep CNN is very fragile and is easily fooled, and its output is not backed up by explanation.” The Cognitive XAI software has a wide range of expected applications, including for autonomous vehicles, medical systems, satellite/aerial imaging, and security systems.

About the Author

Jack Browne | Technical Contributor

Jack Browne, Technical Contributor, has worked in technical publishing for over 30 years. He managed the content and production of three technical journals while at the American Institute of Physics, including Medical Physics and the Journal of Vacuum Science & Technology. He has been a Publisher and Editor for Penton Media, started the firm’s Wireless Symposium & Exhibition trade show in 1993, and currently serves as Technical Contributor for that company's Microwaves & RF magazine. Browne, who holds a BS in Mathematics from City College of New York and BA degrees in English and Philosophy from Fordham University, is a member of the IEEE.

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