Artificial Intelligence in Automotive Industry

For the new year, on the first day of February, we will have another technical evening. This time we will discuss in depth artificial intelligence and its use in the automotive sector.

Sara Polak will be the first to give her presentation.
Sara is originally an archeologist and evolutionary anthropologist, with extensive experience from tech startups in LA and London. She focuses on creating the concept of cloud civilizations, which are a mechanism for using technology to optimize society's evolutionary potential. She popularizes and demystifies artificial intelligence for the general public and founded the technology community Paioneers, where she now makes vidcasts about technology and society 'Paioneers Talks'. She now leads the CCHAOS research group at FIT CTU, which concentrates on the simulation of complex social systems. She is awarded as Top Innovators 2022, Top IT Personality 2021, got a Business Revolution Award from the British Government, and Forbes 30under30 2022. She likes Monty Python, fencing, roast duck with red cabbage and big dogs.
And what will she talk about?
She called her presentation: From pyramids to robots
Are we living in a sustainable social structure? Is there such a thing as a collapse of civilizations, or are we merely undergoing a constant transformation accompanied by ever better technology? Is it possible that our evolutionary nature lies not in large, complex social groupings, but in decentralized tribes, and this makes any civilization unsustainable in the long term? Come on a trip through time from pyramids to robots and immerse yourself in research on the simulation of complex social systems to better understand the anatomy of the civilization we live in and better prepare ourselves for the future.

The next presenter will be Antonín Vobecký. He is one of the few people involved in artificial intelligence and machine learning at Valeo within valeo.ai.
Antonín will explain to us the work he presented together with his team at ECCV in Israel, dealing with the partial automation of the annotation process. This process is important part for training ADAS (advanced driver-asistence systems) for autonomous cars, and its automation appears to be a great saving of time and money. In his work, he investigated whether it is possible to learn pixel-wise semantic image segmentation of urban scenes without the need for any manual annotation, only from raw unedited data collected by cars equipped with cameras and LiDAR sensors while driving in the city.

The last but not less important speaker will be Petr Cezner. After five years as a research software engineer, he decided to focuse on Machine Learning. For that occasion, he also changed employer, from 2022 he works at DataSentics as a Machine Learning Engineer.
His presentation walks us through a computer vision algorithm for quality control. Quality control is an essential part of each manufacturing process and historically had to be always done manually with qualified personnel. Deep learning has introduced a huge improvement in automatizing this task in recent years, resulting in faster production and in cost savings. We'll talk about neural networks for 2D sensors, 3D data, thermal cameras and IoT sensors or how you should choose between classification, segmentation or anomaly detection. We'll also discuss how it is solved currently, which cloud or on-prem solutions are used and how is this field expected to change in future.

This event takes place at Valeo R&D Prague or online.