Artificial Intelligence in Autonomous Driving

Facebook was one of the first companies to adopt GPU accelerators to train DNNs. DNNs and GPUs play a key role in the new "Big Sur" computing platform and in the Facebook AI Research (FAIR) purpose-built system, which is specifically designed for neural network training. Facebook describes its goal as to advance the field of machine intelligence and developing technologies to give people better ways to communicate.[8] Google is also heavily investing in deep learning processes. TensorFlow is the second generation of Google's machine learning system, built to understand very large amounts of data and models. It is very flexible in its architecture and has been applied to various kinds of perception and language understanding tasks like recognition and classification of images, speech and text across many applications (email, robotics, natural language processing, maps, etc.).