Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with the running infrastructures. Using
-
for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
-
and interpreting learned agent behaviour will be investigated to support trust and adoption in industrial environments. The research aims to advance the state of the art in intelligent data-driven
-
empirically grounded insights into the aesthetic, lived, and institutional realities of contemporary world literature and its agents. Combining textual analysis with sociological and ethnographic methods, EMLIT
-
empirically grounded insights into the aesthetic, lived, and institutional realities of contemporary world literature and its agents. Combining textual analysis with sociological and ethnographic methods, EMLIT
-
grounded insights into the aesthetic, lived, and institutional realities of contemporary world literature and its agents. Combining textual analysis with sociological and ethnographic methods, EMLIT aims
-
of reinforcement learning agents understandable to humans, leading to improved transparency, trust, safety, and regulatory compliance in high-stakes decision-making systems. Potential application domains include
-
actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks
-
thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks, environments, or objectives while retaining
-
modelling frameworks that capture power and thermal interactions across multiple levels of abstraction, from devices and circuits to complete computing systems. You will study how architectural decisions