Artificial Intuition is “Computational Gut Feeling” – an Emergency Decision System
Gut feeling — also known as intuition, a hunch, or an instinct — is a sudden, often strong, conviction orContinue Reading
Tag: QCM
Want to try Artificial Intuition?
The fastest and easiest way to try our QCT-powered Artificial Intuition technology is order a mini-PC with a pre-installed, six-monthContinue Reading
The Most Important Thing: Knowing Your Priorities
Regardless of your market, industry, context or situation, it is all about making decisions. Decision making hinges on identifying priorities,Continue Reading
Three Reasons why Blackouts are Inevitable
Following the Spanish blackout earlier this year, our post-mortem analysis has shown how Artificial Intuition could have provided a two-dayContinue Reading
Complexity and the Natural Limits of AI and LLMs
The Principle of Incompatibility, introduced by Lotfi Zadeh in 1973, states: “As the complexity of a system increases, our abilityContinue Reading
Artificial Intuition – Best Application Scenarios
Over the past twenty years, Ontonix has explored and worked on hundreds of applications of its QCM-powered Artificial Intuition technology,Continue Reading
Artificial General Intelligence – The Missing Link
Artificial General Intelligence (AGI) refers to a type of artificial intelligence that possesses the ability to understand, learn, and applyContinue Reading
Complexity Management = Business Profitability and Survival
The negative consequences of high complexity for corporations and organizations are profound and multifaceted, impacting efficiency, agility, and ultimately, theirContinue Reading
Accelerating Machine Learning – An Update
As we know, Machine Learning, is a long and energy-intensive process, requiring expensive computational hardware and large amounts of trainingContinue Reading
Complexity-based Augmentation of Control Systems
Complexity-based augmentation in control systems introduces an adaptive layer that allows real-time feedback, adjusting to the complexity of tasks and environments. Unlike traditional systems with fixed rules, this approach enhances performance and safety in uncertain scenarios. It aims to keep system complexity below critical thresholds to avoid instability. By integrating real-time complexity analytics, QCM control becomes proactive in predicting failures. Its dual role as a monitor and controller promises greater resilience for modern high-tech systems and products.
Artificial Intuition 