Complexity-based Control Systems: A Safeguard Against the Fragility Cliff
Incorporating AI into the industry and other branches, such as network and infrastructure management or manufacturing and production, will increaseContinue Reading
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Incorporating AI into the industry and other branches, such as network and infrastructure management or manufacturing and production, will increaseContinue Reading
SCADA (Supervisory Control and Data Acquisition) is an industrial control system architecture used for high-level supervision and control of geographicallyContinue Reading
Artificial Intuition, as defined by Ontonix, is 4th-generation AI technology that doesn’t require historical data and training. Instead, it examinsContinue Reading
Here are some facts about what Artificial Intuition can and cannot do in Operating Rooms during surgery and in IntensiveContinue Reading
We provide our computational engine OntoNet™ that can be integrated into any SW platform or IT infrastructure such as SCADA,Continue Reading
The success of AI hinges on the quality and diversity of its training data. AI models learn from a vastContinue Reading
The Principle of Ignorance is a ‘corollary’ of the Principle of Fragility, which states: Complexity X Uncertainty = Fragility ThisContinue Reading
QCM (Quantitative Complexity Management) technology has been around for twenty years. The applications span numerous fields, such as engineering, medicine,Continue Reading
Below are some failed doomsday, eco-pocalyptic predictions (source): 1. 1967: Dire Famine Forecast By 19752. 1969: Everyone Will Disappear In a CloudContinue Reading
Since its founding in 2005, Ontonix has focused its QCM (Quantitative Complexity Management) technology on protection, problem prevention, ‘robustification’, earlyContinue Reading
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