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 …

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 …

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 …

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 …

Accurate forecasts for pressurized water reactor safety parameters are essential to ensure
the safe operation of nuclear reactors. Potential of artificial neural networks on this task is …

In this paper, a new method of hierarchical fuzzy system modeling for high-dimensional
regression problems is proposed, which is called multi-objective evolutionary hierarchical …

Oracle Bone Inscription (OBI) is an early hieroglyph in China, which is the most famous
ancient writing system in the world. However, only a small number of OBI characters have …