The popularity of AI (Artificial Intelligence) systems is growing in leaps and bounds. Businesses around the world are starting to understand how these systems can benefit them, but AI is not yet at the stage where you can simply take it out of the box and expect it to perform. AI systems require training, which is where AI models come into the equation.
An “AI model” is an algorithm that is taught using data and input from a human expert. The model is evaluated on its accuracy by comparing the results it provides against the decisions made by the human expert. This often requires the algorithm to review a significant amount of data. In addition, by accessing data from multiple sources, the model is better able to find patterns which it can use to further streamline its analysis. The model is attempting to replicate the decision process of a team of experts with access to the same data.
The transport network is clearly reaching its limits. It has been the subject of public discussion for decades. But how can traffic jams be avoided, the traffic flow be optimized and the number of traffic fatalities be reduced? It is common knowledge that changing road traffic regulations alone will not solve the problem. A comprehensive rethink is needed: more public transport, intelligent traffic networking and autonomous driving are the key words. How can artificial intelligence contribute to the optimization of road traffic?
Artificial intelligence is revolutionizing the market. Machine learning creates new business models that were not even conceivable a few years ago. Anyone who, at the turn of the last century, predicted that a company would soon offer virtual customers to other companies and even earn money with that would have been ridiculed. But this has become reality today. The structures of the new Artificial Intelligence Economy are beginning to emerge.
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