Explainable-AI startup ZAC achieves precise 3D descriptions of objects for US Air Force
Z Advanced Computing (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAIor CXAI) software startup, has developed the "Describer" for making automatic and precise descriptions and measurements of complex 3D objects for US Air Force (USAF), which is a major AI and Machine Learning (ML) breakthrough.
In addition, ZAC is using only a few training samples, and using much lower computing power (i.e., only an average laptop, with only CPU (with no GPU servers)), for both training and recognition, which is also another major AI breakthrough. This is in sharp contrast to the other algorithms in industry (e.g., statistical algorithms, Neural Net, Deep CNN, ResNet, and GAN), which are not able to describe and measure 3D objects at all. In addition, the other algorithms in industry also require thousands to billions of training samples, trained on large GPU servers.
Bijan Tadayon, CEO, ZAC: "ZAC algorithms can describe and measure 3D objects from any viewpoint, for full Explainability of 3D objects," emphasized. We will be using this tech for Medical Imaging, too."
ZAC owns a very strong IP portfolio with over 450 inventions, including 13 issued US patents. Some other applications of ZAC tech are: autonomous vehicles, medical, e-commerce, ads, satellite/aerial, security, manufacturing, and smart homes/appliances.
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