New e-mobility technologies and business models will initiate changes in work patterns and in our personal choices on transportation means. This book looks at how smart cities may apply the "internet of things" to the transportation environment and how this may create a complete set of new technologies and service offerings that will enable the advent of the unmanned vehicle society.
This e-mobility revolution will disrupt the transport market and bring opportunities and threats for many potential actors. These consequences are analysed within.
The AI paradigm: How can we make unmanned cars much more intelligent?
This book is suitable for anyone interested in the e-mobility revolution and its impact on the future of cars, buses and trains. Serge Van Themsche is a consultant in the area of automation, energy and transportation. He held senior executive positions in these sectors, managing projects and people worldwide.
Like the brain that uses its synapses to memorise, ANNs use the modulated strength of their nodes to memorize the forward or backward fed results. Neuromorphic switches change also drastically how computers operate, as they emulate the same mechanisms comprised within the human neural synapses.
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Rather than having a binary answer, that is 0 and 1, we need to portray these switches as biological neural-like networks. Like the biological synapses that have different voltage values and can project inhibition or excitation properties, they can show multiple positive or negative values. In fact, the x junctions called synapses form binary gates from which all connections fan out, to all other neurons in a massive parallel fashion.
The Choices between E-mobility and Immobility
This type of hardware still has some limitations, as it cannot for instance, use unsupervised learning techniques. However, its consumption of only 70 milliwatts, and the higher intelligence it provides essentially the digitised equivalent of a small rodent brain , more than compensate for these limitations and, according to IBM, makes TrueNorth a perfect candidate for driverless applications.
What I have been describing so far is a new world: not digital nor completely analog, but a world based on discrete values. What is still missing however for the advent of real AI is the notion of time.
The AI paradigm: How can we make unmanned cars much more intelligent? - IoT Tech News
Without digging too deep, what is important to understand is that information will be stored in a distributed fashion, but which will integrate a hierarchical organisation based on abstraction levels, and storage rules based on time. With these new solutions, IBM openly seeks to create the equivalent of the human neo-cortex, that is, the site of human intelligence. The automotive industry will be no exception and will use these cognitive tools to better design cars, but also will integrate these new technologies within their onboard driverless control systems.
Some of these technologies are already available and others will be shortly. Buy it Again. Make sure to buy your groceries and daily needs Buy Now. Let us wish you a happy birthday!
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