The ability of artificial agents to increment their capabilities when confronted with new data is
an open challenge in artificial intelligence. The main challenge faced in such cases is …

Adult semantic memory has been traditionally conceptualized as a relatively static memory
system that consists of knowledge about the world, concepts, and symbols. Considerable …

Large Language Models (LLMs) are claimed to be capable of Natural Language Inference
(NLI), necessary for applied tasks like question answering and summarization. We present a …

Large language models (LLMs) are applied to all sorts of creative tasks, and their outputs
vary from beautiful, to peculiar, to pastiche, into plain plagiarism. The temperature parameter …

Data are no longer simply a component of administrative and managerial work but a
pervasive resource and medium through which organizations come to know and act upon …

Examining a shock to the salience of the sustainability of the US mutual fund market, we
present causal evidence that investors marketwide value sustainability: being categorized …

The design of widespread vision-and-language datasets and pre-trained encoders directly
adopts, or draws inspiration from, the concepts and images of ImageNet. While one can …

Abstract Objects can be characterized according to a vast number of possible criteria (such
as animacy, shape, colour and function), but some dimensions are more useful than others …

Objects are the core meaningful elements in our visual environment. Classic theories of
object vision focus upon object recognition and are elegant and simple. Some of their …

How accurate is the picture of the human mind that has emerged from studies in
neuroscience, psychology, and cognitive science? Anybody with an interest in how minds …