Exploring Spatial Representation In Artificial Intelligence Systems
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Expert in Machine Learning and Robotics, with an original formation in Automation, Control, and Signal Processing. Specialized in Artificial Intelligence, Autonomous Systems, and Evolutionary Strategies at EPFL, and in Robotics, Data Processing, and Artificial Perception at UPMC. Focus on the development of autonomous intelligent systems.

                       

Exploring Spatial Representation In Artificial Intelligence Systems

Artificial Intelligence has made great progress in the last decade, in particular, thanks to recent developments in machine learning. As a consequence, we often read in the news that artificial systems now perceive the world as we do and sometimes even outperform humans in some specific tasks. However, are these claims justified? Looking more thoroughly at the intricate machinery making these achievements possible, one quickly realizes that they heavily depend on human supervision. Of course, engineers are necessary to develop and implement machine learning...

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