Klaus Henning - Gamechanger AI: How Artificial Intelligence is Transforming our World
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- Book:Gamechanger AI: How Artificial Intelligence is Transforming our World
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Gamechanger AI: How Artificial Intelligence is Transforming our World: summary, description and annotation
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Artificial intelligence changes everything.
This book encourages readers to consider the challenges of the digital transformation driven by Artificial Intelligence. The reader will discover why this transformation is to be regarded as the greatest cultural revolution since the invention of mass printing and how it can be shaped positively in a value-oriented way.
The author pursues the thesis that intelligent objects on the internet, as well as physical objects, are attaining their own consciousness. Using many examples, he shows how these digital companions become our digital partners.
This non-fiction book provides many suggestions for ones own living and working environment and is full of examples of how artificial intelligence systems can be implemented. The reader learns what is already possible today and what can be expected in the next ten to twenty years.
The book is of interest to anyone interested in AI and the digital transformation - from those responsible in companies, public institutions, and in politics, to all teachers and parents who want to understand what the next generation can expect.
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This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Representation of the structure of a neural network ( https://en.wikipedia.org/wiki/Artificial_neural_network , accessed in April 2020)
Each node processes and weighs this information, passing it on to every node in the following layer. In the end, you end up at an output layer.
This output layer is now ready to be used as an additional input layer. Through these feedback loops, the neuronal network learns from its own results.
Structure of the replica of a nerve cell ( https://en.wikipedia.org/wiki/Artificial_neural_network , accessed in April 2020)
I remember being impressed by the incredible diversity and ability of nature to deal with information. Every piece of external information is processed with different weightings in each nerve cell and leads to a message, the so-called activation function, which is then forwarded to all nodes of the next layer.
50 years ago, it was clear to us that this was a pretty clever construction with a lot of potential for application. Some renowned scientists predicted a great future for advances following this theoretical framework. However, this proved to be wrong in the following decades. The time had not yet come. It was far too complex technically and therefore seemed unlikely to have any significant effect on ongoing technical development, at least for the foreseeable future.
The reality turned out to be different.
Back then, it gained respect for natures enormous achievement and its wasteful effort. I learned that the hamstring reflex of the frogs leg alone contains over a dozen highly complex parallel control loops, each full of neuronal pathways consisting of countless layers of neuronal networks.
I came to the following conclusion: With technology, we can make things easier. You dont have to make it so complicated to just stabilize the hamstring reflex in a frogs leg.
Again, reality turned out to be different.
The automatic fine machine, a vision from 1985 [Henning, Klaus: Kybernetische Verfahren der Ingenieurwissenschaften (Cybernetic Procedures in Engineering Sciences). Mainz, Aachen 1986]
I was of the opinion at the time that this would come very quickly. And although it has been technically feasible for 40 years, to my knowledge there is still no system in which direct deposits of fines are coupled with the devices in ones own home. This would allow all family members to have complete transparency and to get notified immediately which family member drove too fast where.
But enough about the past. Artificial intelligence today is a powerful tool whose basic mathematical construction has existed for two generations. Only now does it lead to dramatic changes in the reality of our lives and work.
The continuing increase in computer capacity has made it possible to exchange and process almost unlimited amounts of data worldwide. At the same time, the computers are getting smaller and smaller and here too the end is not yet in sight.
On the other hand, there is always the phenomenon that technical developments are possible but do not prevail and spread. In this respect, any prediction as to when which form of artificial intelligence will penetrate which part of our lives has an enormous degree of uncertainty.
Here is what we can say based on the development so far: When artificial intelligence systems spread, they do so extremely quickly and worldwide. We can observe that in several areas. But when artificial intelligence has to do with the real things of this world, it often takes much longer than expected.
With these preliminary remarks, I now invite you to begin a journey with me. In addition to theoretical facts, I have also written down my personal experiences and assessments in this non-fiction book. The positive attitude towards digital transformation with artificial intelligence corresponds to my conviction. A great deal is written and discussed about the negative and risky aspects. That is why we will not deepen these aspects but focus on the opportunities. On this journey, we will see how this world has been and will be changed by the gamechanger artificial intelligence. The challenge of the coming decades will be to ensure that this change succeeds for the good of mankind.
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