Safety comes first! Mohamed-Achref Maiza, Senior Data Scientist, explains why ML and automotive safety are tied together and how to improve quality control of data received from car sensors for safer autonomous driving.

Machine learning problems in automotive arise mainly from low-quality data acquired for algorithms training that later will be responsible for real-time decisions that cost real life on the road. To avoid such a high price, it’s better to honing quality control and AI technologies adopted in self-driving cars.

Find out strategies of safe AI adoption in automotive: https://www.intellias.com/machine-learning-ai/