By Staff Reporter, | January 10, 2017
Mercedes Benz plans to build a smart car fitted with NVIDIA-powered AI by the end of the year. (Michiel Dijcks/CC BY 2.0)
At the recent International Consumer Electronics Show 2017 in Las Vegas, Nevada, NVIDIA announced its partnership with well-known automobile manufacturer Mercedes-Benz to develop an artificially intelligent car.
The companies jointly announced the plan to build a smart car fitted with NVIDIA-powered AI by the end of the year.
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Sajjad Khan, vice-president of Mercedes-Benz Digital Vehicle & Mobility, and Jen-Hsun Huang, CEO of NVIDIA, revealed the initial stages of the production started three years ago.
Huang said that once both companies started to collaborate, there was instant chemistry as they share a common vision about the possibilities of AI changing the driving experience and making it more enjoyable. Both companies share the common vision of developing an artificially intelligent car. Again, both companies agreed that AI will be the future as far as computing is concerned and that Artificial Intelligence could revolutionize the future of automobiles.
Khan claims that both parties are working together at the Mercedes-Benz office in Sunnyvale while NVIDIA has a team located in Stuttgart.
Eurasia Review stated that this work is part of an ongoing partnership aimed at artificial intelligence and deep learning.
NVIDIA also released an update on the various Artificial Intelligence projects especially the big feature known as Co-Pilot. The Co-Pilot feature brings in big capabilities to automobiles. With the help of sensors located inside and outside the vehicle, data is gathered. This data is enriched with the help of cameras and microphones, which collects facial and voice information. The enriched information is capable of alerting the driver of possible security issues.
According to iTech Post, one example shown during CES depicted a biker on a lane. When a driver does not show much attention, an alert is issued to ensure the driver does not turn in front of the biker, as in some cases the biker may not visible. The AI system also made use of the facial expressions of the driver to recognize potential risks.
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