Recently, machine learning (ML) methods have been used to create powerful language
models for a broad range of natural language processing tasks. An important subset of this …

Digital twins, which are considered an effective approach to realize the fusion between
virtual and physical spaces, have attracted a substantial amount of attention in the past …

Natural language is a key form of business communication. Textual analysis is the
application of natural language processing (NLP) to textual data for automated information …

Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance
in various medical fields. However, their clinical application remains challenging because of …

Artificial intelligence (AI) has become a focal point across a multitude of societal sectors, with
science not being an exception. Particularly in the life sciences, imaging flow cytometry has …

With its inspirational roots in game-theory, path attribution framework stands out among the
post-hoc model interpretation techniques due to its axiomatic nature. However, recent …

The metabolic activity of microbial communities plays a primary role in the flow of essential
nutrients throughout the biosphere. Molecular genetics has revealed the metabolic …

Deep visual models have widespread applications in high-stake domains. Hence, their
black-box nature is currently attracting a large interest of the research community. We …

Multiplexed imaging technologies have made it possible to interrogate complex tissue
microenvironments at sub-cellular resolution within their native spatial context. However …

This paper seeks to answer the question: Can contemporary forms of artificial intelligence be
creative? To answer this question, I consider three conditions that are commonly taken to be …