The availability of an ever‐expanding portfolio of 2D materials with rich internal degrees of
freedom (spin, excitonic, valley, sublattice, and layer pseudospin) together with the unique …

New developments in hardware-based 'accelerators' range from electronic tensor cores and
memristor-based arrays to photonic implementations. The goal of these approaches is to …

Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …

This paper compiles the most relevant contributions of AI technology in the field of Human
Sciences. It reveals the development of different applications and the software and …

Advancements in optical coherence control,,,–have unlocked many cutting-edge
applications, including long-haul communication, light detection and ranging (LiDAR) and …

Using artificial intelligence (AI) in research offers many important benefits for science and
society but also creates novel and complex ethical issues. While these ethical issues do not …

We present a survey of more than 90 recent papers that aim to study cultural representation
and inclusion in large language models (LLMs). We observe that none of the studies …

This paper illustrates the results obtained by using pre-trained semantic segmentation deep
learning models for the detection of archaeological sites within the Mesopotamian …

As we write this research paper, we notice an explosion in popularity of machine learning in
numerous fields (ranging from governance, education, and management to criminal justice …

Generative artificial intelligence (genAI) language models have become firmly embedded in
public consciousness. Their abilities to extract and summarise information from a wide range …