Iya Khalil, PhD, discusses Merck & Co.’s approach to artificial intelligence (AI), and success in applying the technology, ...

The training of molecular models of quantum mechanical properties based on statistical machine learning requires large data sets which exemplify the map from chemical structure to molecular property.

An optimization problem regarding water removal in the press section of a paper machine is considered in this work. The proposed model tries to minimize a cost function comprising the replacement of ...

Animated linear charts. Data graphs animation library. Moving dots, rectangles. Dumbbell plot infographic. Colorful illustrations on white background. HD video with alpha channel. Motion graphic ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Time modulated antenna arrays attracted the attention of researchers for the synthesis of low/ultra-low side lobes in recent past. In this article we propose an improved variant of a recently ...

In most of the manufacturing processes, we encounter different quality characteristics of a product and process. These characteristics can be categorized into two kinds; study variables (variable of ...

More information: Katja Schlegel et al, Large language models are proficient in solving and creating emotional intelligence tests, Communications Psychology (2025). DOI: 10.1038/s44271-025-00258-x .

A ribonuclease-targeting chimera (RiboTAC) is a heterobifunctional compound that binds to an RNA target and recruits a ribonuclease to cleave the bound RNA. This study investigates the impact of ...