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What is the programming language used in Google self-driving cars, and how does it enable autonomous driving capabilities

The programming language used in Google self-driving cars is TensorFlow, an open-source machine learning platform developed by Google. TensorFlow allows the self-driving car software to apply deep learning through neural networks to feed in lots of data and make autonomous vehicles do what they do. The platform is widely used by many autonomous car makers, not just Waymo, the self-driving technology company owned by Alphabet.

TensorFlow is used in Google self-driving cars because it enables the cars to detect surroundings and be self-aware of their location on the road. The platform applies deep learning through neural networks to feed in lots of data and make autonomous vehicles do what they do. This allows the cars to navigate through roads and traffic safely and efficiently, without human intervention.

TensorFlow is also used in other applications such as image and speech recognition, natural language processing, and predictive analytics. It has been used in various industries such as healthcare, finance, and transportation. The platform's flexibility and scalability make it an ideal choice for many applications that require machine learning and deep learning capabilities.

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