Explainable-AI Image Recognition achieves precise 3D descriptions of objects for US Air Force, a 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.
- 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.
- ZAC algorithms can describe and measure 3D objects from any viewpoint, for full "Explainability" of 3D objects.
- "ZAC algorithms can describe and measure 3D objects from any viewpoint, for full Explainability of 3D objects," emphasized Dr. Bijan Tadayon, CEO of ZAC.