Machine Learning has been an ongoing focus of FDA activity for some time. The first Industry Discussion Paper on the topic was launched back in 2019, followed by an Action Plan in 2021 aimed at ...
Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...
Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, there is often confusion surrounding the ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists. Their ML-based model could be ...
Two-dimensional (2D) materials have emerged as a significant class of materials promising for photocatalysis, and defect ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...
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