Tuesday, January 18, 2022

g-f(2)830 The New World (1/18/2022), TechXplore, Controlling complex systems with Artificial Intelligence


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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageThe New World, Controlling complex systems with AI (1/18/2022)  g-f(2)426 


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Controlling complex systems with AI


  • Researchers at ETH Zurich and the Frankfurt School have developed an artificial neural network that can solve challenging control problems. The self-learning system can be used for the optimization of supply chains and production processes as well as for smart grids or traffic control systems.
  • Together with Professor Lucas Böttcher from the Frankfurt School of Finance and Management, ETH researchers Nino Antulov-Fantulin and Thomas Asikis—both from the Chair of Computational Social Science—have developed a versatile AI-based control system called AI Pontryagin which is designed to steer complex systems and networks towards desired target states.


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ETH Zurich: Where the future begins.





References




ABOUT THE AUTHORS


ETH Zurich



ETH Zurich (English: ETH; Swiss Federal Institute of Technology in Zürich) is a public research university in the city of Zürich, Switzerland. Founded by the Swiss Federal Government in 1854 with the stated mission to educate engineers and scientists, the school focuses primarily on science, technology, engineering, and mathematics. Like its sister institution EPFL, it is part of the Swiss Federal Institutes of Technology Domain, part of the Swiss Federal Department of Economic Affairs, Education and Research.

In the 2021 edition of QS World University Rankings, ETH Zurich was ranked 6th in the world, placing it as the second-best European university after the University of Oxford. In the 2020 QS World University Rankings by subject, it ranked 4th in the world for engineering and technology (2nd in Europe) and 1st for earth and marine science. Also, ETH was rated 8th in the world in the Times Higher Education World University Rankings of 2020.

ETH Zurich has a world-class reputation in academia and industry. As of 2020 there are 22,200 students from over 120 countries, of which 4,180 are pursuing doctoral degrees.

21 Nobel laureates, 2 Fields Medalists, 2 Pritzker Prize winners, and 1 Turing Award winner have been affiliated with the Institute, including Albert Einstein. Other notable alumni include John von Neumann and Santiago Calatrava. It is a founding member of the IDEA League and the International Alliance of Research Universities (IARU), and a member of the CESAER network.


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Lessons learned, TechXplore


Self-learning control system 

Golden Knowledge (GK) Juice


  • Control systems based on artificial intelligence (AI) can help to optimize complex processes—and can also be used to develop new business models.
  • In their paper, the researchers show how AI Pontryagin automatically learns quasi-optimal control signals for complex dynamic systems. The researchers' analysis lays much of the vital groundwork; further research is still required to determine the system's applicability to specific, real-world cases. At present, control methods are typically used to, for example, protect power grids from fluctuations and outages, manage epidemics, and optimize supply chains.


Condensed knowledge




Lessons learned, TechXplore


Supply-chain control as possible application 

Golden Knowledge (GK) Juice


  • To use AI Pontryagin as intended, the AI must first be provided with information on the target system's dynamics. In supply chains, this might include details of the number of possible suppliers, as well as purchasing costs and turnaround times. This information is used to determine which areas require dynamic optimisation.
  • Users must also provide information on the system's initial status, such as current stock levels, and its desired (target) status, such as the requirement to replenish stock to certain levels while minimizing the use of resources.


Some relevant characteristics of this "genioux fact"

  • Category 2: The Big Picture of the Digital Age
  • [genioux fact deduced or extracted from TechXplore]
  • This is a “genioux fact fast solution.”
  • Tag Opportunities those travelling at high speed on GKPath
  • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
  • Type of validity of the "genioux fact". 

    • Inherited from sources + Supported by the knowledge of one or more experts + Supported by research.


References


“genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)830, Fernando Machuca, January 18, 2022, blog.geniouxfacts.comgeniouxfacts.comGenioux.com Corporation.


ABOUT THE AUTHORS


PhD with awarded honors in computer science in France

Fernando is the director of "genioux facts". He is the entrepreneur, researcher and professor who has a disruptive proposal in The Digital Age to improve the world and reduce poverty + ignorance + violence. A critical piece of the solution puzzle is "genioux facts"The Innovation Value of "genioux facts" is exceptional for individuals, companies and any kind of organization.




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