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Workshop on Trustworthy AI
Project Ultimate is organising a remote workshop on Trustworthy AI on the morning of 2nd of February, 2024. Experts in Hybrid AI, Safety & Trustworthiness
Trustworthy AI in safety-critical systems: Overcoming adoption barriers – Final Conference
Project Ultimate and Trustworthy AI cluster project partner SAFEXPLAIN organise a conference on the Trustworthy AI in safety-critical systems: overcoming adoption barriers. Learn how AI
D5.3 – Report on assessment of Hybrid AI
Deliverable D5.3 elaborates on the end to end Trustworthiness including ethics. Methodology, implementation, and evaluation results . To be published
D6.5 Mid-term workshop report
Deliverable 6.5 summarizes the main ULTIMATE technical contributions till the half of the project whilegathering the UC owners and ULTIMATE Advisory Board feedback (from the
ULTIMATE project Youtube Channel
Discover our demos and technical videos on our Youtube Channel ! ULTIMATE Youtube Channel
ULTIMATE project final poster
The ULTIMATE poster with the results of the project is available. Inside you can find the works, use-case to demo and the results for the
ULTIMATE WORKSHOP UC SYNTHETIC DATASET V1 (ROS 2 – HUMBLE)
The ULTIMATE WORKSHOP UC SYNTHETIC DATASET V1 dataset is composed of 24 files (12 ROS1-Noetic and 12 ROS2-Humble recordings), each one containing a scene reproducing a hybrid
ULTIMATE WORKSHOP UC SYNTHETIC DATASET V1 (ROS1 NOETIC)
The ULTIMATE WORKSHOP UC SYNTHETIC DATASET V1 dataset is composed of 24 files (12 ROS1-Noetic and 12 ROS2-Humble recordings), each one containing a scene reproducing a hybrid
Rohucad Data Set
RoHuCAD is a dataset of human-robot collaboration in a robotic workshop (check workshop_layout.png). Two robots (collaborative manipulator – cobot, autonomous mobile robot – AMR) assist three
tf2-bfgs
tf2-bfgs is a wrapper to train a tf.Module or tf.keras.Model using (L-)BFGS optimizer from Tensorflow Probability. MIT License Copyright (c) 2024 Matthieu Barreau github repository