Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
Modeling counterparty risk is computationally challenging because it requires the simultaneous evaluation of all trades between each counterparty under both market and credit risk. We present a ...
On Friday the 2nd of September 2022, M.Sc. Krista Longi defends her doctoral thesis on Gaussian Processes and Convolutional Neural Networks for Modeling Sensor Data. The thesis is related to research ...