UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Correlation analyses confirmed meaningful associations between key digital features and mental health outcomes. Performance in an independent external validation cohort (N=45) achieved balanced ...

Abstract: The machine learning provides a theoretical and methodological framework to quantify the relationship between user OoE (Quality of Experience) and network QoS (Quality of Service). This ...

Perel, a renowned psychotherapist, doesn’t really think society can — or should — fall in love with a machine. By Esther Perel and Nadja Spiegelman Produced by Vishakha Darbha Perel, a renowned ...

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...

bCentre Eau Terre Environnement, Institut national de la recherche scientifique, 490 de la Couronne, Québec, QC, G1K 9A9, Canada Extreme heat events (EHEs) are a growing threat to health worldwide. To ...

Department of Industrial Chemistry, Faculty of Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan ...