AI APPLICATIONS
“ Robotaxis will eventually become extremely cheap to use , making car ownership questionable for most people in towns and cities ”
GILBERTO RODRIGUEZ DIRECTOR OF PRODUCT MANAGEMENT - ARTIFICIAL INTELLIGENCE AND ETHERNET CONNECTIVITY , IMAGINATION TECHNOLOGIES
Neural networks feeding ML algorithms When developing this technology , car manufacturers use large amounts of data from image recognition systems along with machine learning ( ML ) and neural networks .
Neural networks are key for this technology as they identify patterns in the data to feed the machine learning algorithms .
“ The richness of these datasets is such that traditional technologies ( created before neural networks ) can ' t cope . Simple heuristics ( rules saying " if this , then that ") can ' t cope with the messiness of real life . This is why neural networks are very good at encoding this messiness but need the training to do so ,” said Nicholson .
“ So the top autonomous vehicles now have billions of hours of simulated training under their belts , and millions of hours of real-world training , in order to give the neural networks the material they need to encode real-world messiness ,” he added .
As with any AI technology , datasets are imperative to train deep learning models and achieve high levels of accuracy .
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