ZAC Cognitive Explainable-AI for Situational Awareness recognized as far superior algorithm to achieve Self-Driving Level-5 than Neural Nets

10.11.25 17:05 Uhr

POTOMAC, Md., Nov. 10, 2025 /PRNewswire/ -- Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been recognized as far superior to the current algorithms (e.g., Neural Net, Deep Learning, Deep CNN, ResNet) to achieve Level-5 Self-Driving in future by Auto Connected Car ("Autonomous & Self-Driving Vehicle News", Lynn Walford, Aug-17-2025) and by Investors Hangout ("Revolutionizing Self-Driving with ZAC's Advanced AI Solutions", Lucas Young, Aug-4-2025).

ZAC Cognitive Explainable-AI (CXAI) algorithms, based on brain-inspired Concept-Learning, have many major advantages over other state-of-the-art AI/ML algorithms in industry/academia, e.g., Neural Net, Deep Learning, Transformer, Deep CNN, ResNet, GAN, Generative-AI, LLM. The ZAC capabilities/results have already been demonstrated on the projects for US Air Force & Bosch-BSH, for detailed complex 3D image/object recognition from any view angle. (All values in the table are typical/approximate.)

ZAC can understand unexpected/rare situations/events, a pre-requisite for Situational Awareness for Level-5 Self-Driving

"Investors Hangout" reported that:

  • ZAC "can effectively analyze and react to complex, unexpected, or rare situations, which are vital traits for any self-driving technology".
  • ZAC algorithms "fuse Multi-modal sensor data, enabling a richer understanding of the environment".
  • ZAC "excel in understanding complex situations, allowing for better Situational Awareness essential for Level-5 Autonomy".

"Auto Connected Car" concluded that:

  • ZAC is"a transformative force in the next wave of intelligent systems".

ZAC algorithms require:

  • only few training samples (typically 5 to 50 (instead of 1000s to Billions)), based on Abstraction/Generalization of Concepts/objects;
  • much smaller computation resources (CPU/GPU) & energy/battery/Carbon footprint/size/weight.

ZAC will eliminate the need for:

  • remote human driver/Tele-Operator,
  • massive/expensive simulated training samples,
  • geofencing/limiting range of operation,
  • memorizing/updating all street signs in the map.

ZAC owns a very strong IP portfolio: over 450 inventions (including 14 issued US patents).

ZAC has an impressive team of scientists/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, with 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; 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; US Army Science Board).  Late Prof. Lotfi Zadeh of UC Berkeley ("Father of Fuzzy Logic"; co-inventor of Z-Transform; AI Hall-of-Fame) is also one of ZAC inventors.

ZAC Tech applications are, e.g.: autonomous vehicles, satellite/aerial images, security/biometrics, medical imaging, drug discovery, e-commerce/ads, manufacturing/defect detection, Smart Cities/homes/appliances.

Contact:
Z Advanced Computing, Inc. (ZAC)
Tel.:  301-294-0434
media@ZAdvancedComputing.com
www.ZAdvancedComputing.com

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

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SOURCE Z Advanced Computing, Inc.