AUDI to Test Complexity Chip

Como, 11-th October, 2018. Ingolstadt-based AUDI Electronics Venture, AEV, will evaluate the QCM Chip (or Complexity Chip) for a range of applications. The chip is based on FPGA technology and has been developed jointly by Ontonix and SAIC in the framework of a project funded by the US Department of Defense Executive Agent for Printed Circuit Board and Interconnect Technology and the NSWC (Naval Surface Warfare Center). Each chip is delivered with a specific board - Digilent ZedBoard - which includes a microprocessor that manages all data Input/Output as well the chip itself.

“The chip constitutes the heart of an Intelligent Black Box - a device that can be mounted on cars, aircraft, submarines or on any mission-critical piece of equipment, and deliver early warning signals of imminent systemic malfunctions”, said Dr. J. Marczyk, the founder and President of Ontonix. “We are proud of the fact that AUDI, a leading manufacturer of luxury vehicles with whom we cooperate since nearly a decade, will evaluate the chip in various fields” he continued. “As the software and electronics on modern cars is rapidly becoming highly complex, this complexity can cause malfunctions which may impact safety. Monitoring it in real time not only indicates which sub-systems are the drivers of complexity, it also makes it possible to anticipate breakdowns, indicating potential causes. Monitoring the complexity on a fleet of cars will deliver knowledge that can be useful in the design of future software and electronics architectures in that complexity itself will become a proper design attribute. ” he concluded.

For information on AEV, visit website.

Jacek Marczyk

Visionary, scientist, businessman and writer with over 35 years of experience in QUANTITATIVE large-scale Uncertainty and Complexity Management in diverse fields (manufacturing, finance, economics).

Author of nine books on simulation, uncertainty and complexity management, rating.

Developed in mid 90s the theory of eigenvalue orbits, a generalization of the concept of eigenvalue.

In 2000-2005 has developed the first Quantitative Complexity Theory (QCT), including a comprehensive measure of complexity.

Founded Ontonix Complexity Management in 2005 in the USA and launched in 2006 the first commercial system for MEASURING and managing complexity: OntoSpace.

In 2007 launched first on-line Resilience Rating for businesses, an objective and transparent rating system:

In 2009 delivered real-time technology to measure the complexity and stability of patients during operation or permanence in Intensive Care Units.

Developed a new theory of risk and rating published in 2009 in a book entitled "A New Theory of Risk and Rating".

Over last decade develops quantitative complexity management (QCM) technology and solutions for applications in economics, finance, Risk Rating and Management as well as in Asset Management and medicine. In the past five years works towards the democratization of ratings.

In 2013 he founded London-based Assetdyne, focusing on design of complexity-based high-performance portfolios and complexity-based asset allocation and asset management.

He is currently focusing on creating a new Rating Agency and a fund which will be managed via complexity technology (QCT).