Industry 4.0, Nasty Problems, and Why AI Won’t Work.
What is Industry 4.0? To put it briefly, the idea is to collect a lot of data from the factoryContinue Reading
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On-board 4-th Gen AI Anomaly Detection Device Now Available
The Onboard, real-time anomaly detection, 4-th generation AI device (CAHMS – Complexity And Health Monitoring System) has been been introduced recentlyContinue Reading
Artificial Intuition: 4-th Generation AI for Fast, Critical Decision-Making
There exist numerous high-complexity scenarios and contexts in which it is necessary to make fast, often critical and strategic decisions.Continue Reading
Complexity and Measuring the Climate – an Update
Before reading this blog, please read here. The analysis has been running since January 2024. The situation as of SeptemberContinue Reading
Ontonix Contributes to Software-defined Vehicle (SdV) Course
“This course gives you easy access to the key concepts of the Software-defined Vehicle (SdV) and related topics such asContinue Reading
Artificial Intuition – Advantages Over Traditional Approaches and AI.
What are the main differences between Ontonix’s QCM/ Artificial Intuition approach to data analysis and early anomaly detection, and conventionalContinue Reading
Onboard, Real-time Anomaly Detection via 4-th Generation AI
Modern products such as automobiles, aircraft, ships, military equipment, etc., function thanks to a multitude of software, hardware, and sensors/actuators.Continue Reading
How Artificial Intuition Can Help Artificial Intelligence.
The rate of improvement of Artificial Intelligence technology has not been as expected. Gullible, inexperienced public (and many investors) isContinue Reading
Artificial Intuition Predicts Worst Case Scenarios
When rolling out a highly complex, software-heavy product, it is vital to know what a worst-case scenario could be andContinue Reading
Complexity and Measuring the Climate
“Climate is the long-term weather pattern in a region, typically averaged over 30 years. More rigorously, it is the meanContinue Reading
