Microscopic imaging providing the real-space information of matter, plays an important role
for understanding the correlations between structure and properties in the field of materials …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

Employing unmanned aerial vehicles (UAVs) as aerial data collectors in Internet-of-Things
(IoT) networks is a promising technology for large-scale environment sensing. A key …

Deep learning-based data analysis methods have gained considerable attention in all fields
of science over the last decade. In recent years, this trend has reached the single-molecule …

Recently, artificial intelligence applications have become part of almost all emerging
technologies around us. Neural networks, in particular, have shown significant advantages …

Classification and sorting of cells using image-activated cell sorting (IACS) systems can
bring significant insight to biomedical sciences. Incorporating deep learning algorithms into …

Object detection is an essential capability for performing complex tasks in robotic
applications. Today, deep learning (DL) approaches are the basis of state-of-the-art …

Human-robot teaming receives an ever-increasing level of attention in research,
development and industry. Novel approaches to task sharing in hybrid teams range from …