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Abstract:

AI is revolutionizing the $10T transportation industry. Every vehicle will be autonomous â cars, trucks, taxis, buses and shuttles. AI is core to enabling autonomous driving, but AI is also being applied to mobility, logistics, connected vehicles, connected factory, customer experience and a myriad of other use cases in Automotive. Come learn from experts at Audi, BMW and VW about how they are applying data ingestion, labeling, discovery and exploration to develop trained AI models with significant reductions in the time it takes due to GPU-accelerated computing infrastructures.

AI is revolutionizing the $10T transportation industry. Every vehicle will be autonomous â cars, trucks, taxis, buses and shuttles. AI is core to enabling autonomous driving, but AI is also being applied to mobility, logistics, connected vehicles, connected factory, customer experience and a myriad of other use cases in Automotive. Come learn from experts at Audi, BMW and VW about how they are applying data ingestion, labeling, discovery and exploration to develop trained AI models with significant reductions in the time it takes due to GPU-accelerated computing infrastructures.

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Topics:
Autonomous Vehicles
Type:
Panel
Event:
GTC Europe
Year:
2018
Session ID:
E8468
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Abstract:

Deep Learning is changing the paradigms of automotive software development.  Vehicles will act as a mobile sensor with a huge computing power, and will become more intelligent when connected to the environment. Cumbersome feature extraction algorithm design which requires years of experience  are  often outperformed by Deep Learning models. We will reach truly cognitive cars at the end of this development, which can handle even the most challenging traffic situations, and interact seamlessly with drivers and surroundings. But that comes with new challenges for the automotive industry. This session gives an overview of AI applications, learning mechanisms, hardware requirements as well as architectures in connection with an IT backend.  

Deep Learning is changing the paradigms of automotive software development.  Vehicles will act as a mobile sensor with a huge computing power, and will become more intelligent when connected to the environment. Cumbersome feature extraction algorithm design which requires years of experience  are  often outperformed by Deep Learning models. We will reach truly cognitive cars at the end of this development, which can handle even the most challenging traffic situations, and interact seamlessly with drivers and surroundings. But that comes with new challenges for the automotive industry. This session gives an overview of AI applications, learning mechanisms, hardware requirements as well as architectures in connection with an IT backend.  

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Topics:
Autonomous Vehicles, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Europe
Year:
2016
Session ID:
SEU6219
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