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ZAC recognized as Trailblazer in Artificial Intelligence (AI) with innovative breakthroughs in Explainable AI (XAI)

ZAC logo (PRNewsfoto/Z Advanced Computing, Inc.)

News provided by

Z Advanced Computing, Inc.

May 12, 2025, 13:13 ET

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POTOMAC, Md., May 12, 2025 /PRNewswire/ -- Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been recognized as Trailblazer in Artificial Intelligence (AI) with innovative breakthroughs in Explainable-AI (XAI) by "Investors Hangout" (InvestorsHangout.com, Mar-26-2025, titled "Z Advanced Computing: Pioneering AI Solutions"). Cognitive Explainable AI (CXAI) algorithms enable training the machine with just a few training samples, marking a significant milestone in both AI and machine learning (ML). This places ZAC among the top AI technologies and algorithms recognized globally. Since 2011, ZAC team has pushed the boundaries of what is possible with AI. ZAC work involves Concept-Learning, a groundbreaking algorithm which has remarkable efficiency for machine learning, which is a significant development in AI technology, impacting every industry (e.g., Autonomous Driving and Biotech/Medical applications). ZAC has demonstrated its tech, e.g., in projects for US Air Force (USAF) (Aerial Images) and Bosch/ BSH (Smart Appliances).

ZAC Cognitive Explainable-AI (CXAI) algorithms, based on Concept-Learning, have many major advantages over other AI/ ML algorithms in the industry and academia, including the industry’s state-of-the-art, such as Deep Convolutional Neural Networks (CNN) and LLM. The ZAC capabilities/ results have already been demonstrated on the projects for US Air Force and Bosch/ BSH, for the detailed complex 3D image/ object recognition from any view angle.  (All values in the table are typical/ approximate.)
ZAC Cognitive Explainable-AI (CXAI) algorithms, based on Concept-Learning, have many major advantages over other AI/ ML algorithms in the industry and academia, including the industry’s state-of-the-art, such as Deep Convolutional Neural Networks (CNN) and LLM. The ZAC capabilities/ results have already been demonstrated on the projects for US Air Force and Bosch/ BSH, for the detailed complex 3D image/ object recognition from any view angle. (All values in the table are typical/ approximate.)

ZAC recognized as Trailblazer in Artificial Intelligence (AI), requiring only a few training samples.

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"As far as I know, we are the only company or group in the world that can do the AI training with typically 5 to 50 training samples," said Dr. Bijan Tadayon, CEO of ZAC.

ZAC owns a very strong IP portfolio with over 450 inventions, including 14 issued US patents.

ZAC has an impressive team of scientists and developers. The development is headed by Dr. Saied Tadayon, a scientist, veteran software developer, and math prodigy, who ranked 1st as an undergrad at Cornell and got his PhD in Electrical Engineering from Cornell at age 23 (the youngest).

ZAC world-renowned advisors include Prof. David Lee (Nobel Laureate, Physics), Prof. Mory Gharib (former Caltech Vice Provost of Research), Prof. Gholam Peyman, MD (Inventor of LASIK; and awarded National Medal of Technology and Innovation by US President), late Prof. Robert Buhrman (former Cornell Sr. Vice Provost of Research), Prof. Mike Spencer (former Cornell Associate Dean of Engineering for Research), and Prof. Mo Jamshidi (UTSA, former Founding Dir. of NASA Center for Autonomous Control; and US Army Science Board). The late Prof. Lotfi Zadeh of UC Berkeley ("Father of Fuzzy Logic"; co-inventor of Z-Transform; and AI Hall-of-Fame) is also one of ZAC inventors.

Some applications of ZAC Tech are: autonomous vehicles, satellite/aerial images, security/biometrics, medical imaging, drug discovery, e-commerce/ads, manufacturing/defect detection, and smart cities/homes/appliances.

Contact:

Z Advanced Computing, Inc. (ZAC)
Tel.: 301-294-0434
[email protected]
www.ZAdvancedComputing.com

SOURCE Z Advanced Computing, Inc.

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