Fuzzy-AI UAP Analytics: A Science-Driven, Transparent Framework for Classifying Anomalies

To the point

Rafi Glick argues that releasing UAP data and applying fuzzy logic and AI to multi-sensor analysis will shift the debate from belief to a transparent, science-based process that categorizes observations as noise, known phenomena, or genuine anomalies, giving rise to a new interdisciplinary field called Fuzzy-AI UAP Analytics.

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The Blogs: UAP: Trump, Congress, Pentagon Push NASA and Science Toward AI and Fuzzy Logic | Rafi Glick - Bytes Europe
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The Blogs: UAP: Trump, Congress, Pentagon Push NASA and Science Toward AI and Fuzzy Logic | Rafi Glick - Bytes Europe

The release of UAP documents by the Pentagon and the White House could transform the discussion around unidentified phenomena from a debate driven by belief