Notes from Industry

Autonomous driving systems are incredibly complex. They tightly integrate multiple state-of-the-art technologies like perception and decision making. Only carefully designed hardware can support these particularly resource-hungry tasks. Furthermore, autonomous driving is one of the first embedded applications that heavily rely on machine-learning algorithms. …

Spectrograms certainly are the best-suited representation of audio signals for analysis. Not only does it match our understanding of sounds through frequency decomposition, but it also allows us to use 2-dimensional analysis architectures. Given the massive progress in computer vision during the last decade, the possibility of representing sounds as…

Arthur Findelair

Machine Learning and robotic enthusiast | MSc in Electrical Engineering and Aeronautical Engineering |

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