It may already be known to most fellow shareholders, but I would like to share my train of thought with you without being annoying.
The article I came across is from 2017.
Hier präsentieren wir wesentliche Elemente aus fünf Keynotes vom 21. Fachkongress „Fortschritte in der Automobil-Elektronik“. Das beherrschende Thema in Ludwigsburg war stets die Software in verschiedenen Facetten für diverse Anwendungen im Fahrzeug.
www.all-electronics.de
If you read the cache text you get the following link:
https://webcache.googleusercontent....mobil-elektronik.html+&cd=3&hl=de&ct=clnk&gl= en
and this translated into English here:
Hier präsentieren wir wesentliche Elemente aus fünf Keynotes vom 21. Fachkongress „Fortschritte in der Automobil-Elektronik“. Das beherrschende Thema in Ludwigsburg war stets die Software in verschiedenen Facetten für diverse Anwendungen im Fahrzeug.
www-all--electronics-de.translate.goog
The statement by the CEO of Nvidia in today's context is particularly interesting:
...
Artificial intelligence
For many visitors, the special atmosphere and the familiar character of this industry get-together in Ludwigsburg are an important reason for their participation. However, one guest was a bit irritated by the free exchange of ideas: "We wouldn't be able to have a conference like this, where competitors sit together and talk about new trends," emphasized Nvidia's CEO Jensen Huang right at the beginning of his keynote speech. "We prefer to keep the good ideas to ourselves." But Huang was happy to talk about the current projects at Nvidia. The starting point for his remarks was the development of performance in different computing architectures. While the microprocessor with its sequential data processing is showing signs of saturation in the increase in performance, this does not apply to parallel data processing with graphics processors (GPUs). Here, more transistors continued to mean more power.
Jensen Huang, Nvidia: "The parallel data processing with graphics processors ensures further increasing computing power." Matthias Baumgartner
With regard to specific applications in the automotive sector, Huang put forward a thesis that was somewhat surprising in view of the concentrated expertise in the audience: "At the moment there are very few people in the world who really understand the enormous computing power required for autonomous driving." And added that in addition to performance, particularly
high energy efficiency is just as important. While conventional high-performance computers load them with a few thousand watts, GPU-based systems such as Nvidia's Drive PX solution make do with considerably less.
Nvidia primarily relies on deep learning technology, in which artificial neural networks are trained with corresponding data sets in order to recognize traffic signs, for example. Such an approach requires massive parallel data processing, for which GPU-based hardware is particularly suited. The big difference between deep learning and conventional programming methods is that the source code is not generated manually, but is located in the data with which a deep learning system is trained, according to Huang: “
The data is the source Code.” With deep learning, the computer writes the software itself, so to speak, in which the learned experiences are stored in the neural network.
Jensen Huang, Nvidia: "We wouldn't be able to hold a conference like this." Matthias Baumgartner
Both the methods of deep learning and the hardware platform developed by Nvidia can be used in addition to the development of highly automatedUse driving functions up to autonomous driving for completely different applications. As an example, Huang cited the cooperative , in which industrial robots are trained to interact with workers in the production process without endangering them. Nvidia has developed a virtual parallel world for training robots, in which virtual ones are trained. Analogous to this "Holodeck" it should also take place in the automotive world.
...
In connection with the announcement by Mercedes Benz that they are using brain chip technology in their latest study
The establishment strikes back.
www.motortrend.com
and another announcement by Mercedes Benz that Nvidia is granted a high share of the sales of future vehicle technologies,
Beim Verkauf von Software-Komponenten für das autonome Fahren soll knapp die Hälfte vom Mercedes-Umsatz an Nvidia gehen, berichtet das Handelsblatt.
www.businessinsider.de
Beim Verkauf von Software-Komponenten für das autonome Fahren soll knapp die Hälfte vom Mercedes-Umsatz an Nvidia gehen, berichtet das Handelsblatt.
www-businessinsider-de.translate.goog
I suspect that Nvidia has been linked to brainchip for some time (till 2017 ?). In my opinion, after such reports, it's about time for Nvidia to put on their pants and open the curtain, too much fear of the competition also conveys a lack of self-confidence in their own products... what do you think?
Hope the links work, sorry if not.
Thank you all for your great contribution and support.
