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Exploring AI Technologies from Ethics to Trust (ENFIELD educational material)
The 2024 ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on November 15, 2024.
The objective of the webinar was to discuss the critical landscape of AI ethics and trust.
During the webinar, 8 p
Robot Learning
The talk discusses the long-standing vision of creating autonomous robots capable of assisting humans in daily life. A crucial step toward this goal is enabling robots to learn tasks based on environmental cues or higher-level instructions.
Probabilistic Logics to Neuro-Symbolic Artificial Intelligence
A central challenge to contemporary AI is to integrate learning and reasoning.
Domain Adaptation and Generalization
There is an issue of domain shift in machine learning models, which occurs when models trained on one dataset perform poorly when tested on data from a different source.
Hybrid AI for knowledge representation and model-based medical image understanding
Image understanding benefits from the modeling of knowledge about both the scene observed and the objects it contains as well as their relationships.
Robots Learning (Through) Interactions
The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. I will discuss various learning techniques we developed that enable robots to have complex interactions with their environment and humans.