Explainable-AI (Artificial Intelligence – XAI) Image Recognition Startup Included in Responsible AI (RAI) Solutions Report, by a Leading Global Research and Advisory Firm

POTOMAC, Md., Nov. 23, 2020 /PRNewswire/ — Z Advanced Computing, Inc. (ZAC), the pioneer Explainable-AI (Artificial Intelligence) software startup, was included by Forrester Research, Inc. in their prestigious report: “New Tech: Responsible AI Solutions, Q4 2020” (November 23, 2020, at https://go.Forrester.com/).  Forrester Research is a leading global research and advisory firm, performing syndicated research on technology and business, advising major corporations, governments, investors, and financial sectors.  ZAC is the first to demonstrate Cognition-based Explainable-AI (XAI), where various attributes and details of 3D (three dimensional) objects can be recognized from any view or angle.  “With our superior algorithms, complex 3D objects can be recognized from any direction, using only a small number of training samples,” said Dr. Saied Tadayon, CTO of ZAC.  “You cannot do this with the other techniques, such as Deep Convolutional Neural Networks (CNN), even with an extremely large number of training samples.  That’s basically hitting the limitations of CNNs, which others are using now,” continued Dr. Bijan Tadayon, CEO of ZAC.  “For complex tasks, such as detailed 3D image recognition, you need ZAC Cognitive algorithms.  ZAC also requires less CPU/ GPU and electrical power to run, which is great for mobile or edge computing,” emphasized Dr. Saied Tadayon.

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