Preserving and combining knowledge in robotic lifelong reinforcement learning
Humans can continually accumulate knowledge and develop increasingly complex behaviours and skills throughout their lives, which is a capability kn…
Humans can continually accumulate knowledge and develop increasingly complex behaviours and skills throughout their lives, which is a capability kn…
Learning meaningful representations of images in scientific domains that are robust to variations in centroids and orientations remains an importan…
Generative artificial intelligence (AI) technologies and large models are producing realistic outputs across various domains, such as images, text,…
We explore machine unlearning in the domain of large language models (LLMs), referred to as LLM unlearning. This initiative aims to eliminate undes…
Large language models (LLMs) are increasing in capability and popularity, propelling their application in new domains—including as replacements f…
People are remarkably capable of generating their own goals, beginning with child’s play and continuing into adulthood. Despite considerable empi…
The emergence of vision catalysed a pivotal evolutionary advancement, enabling organisms not only to perceive but also to interact intelligently wi…
The offering of grocery stores is a strong driver of consumer decisions. While highly processed foods such as packaged products, processed meat and…
Social identity biases, particularly the tendency to favor one’s own group (ingroup solidarity) and derogate other groups (outgroup hostility), a…