Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

As the basis of various micro-electromechanical system (MEMS) sensors and actuators, MEMS resonators are widely beset with the feed-through effect from parasitic capacitance networks, which makes it ...

Future efforts will explore deep learning for more integrated classification and develop predictive algorithms to shift from fault diagnosis towards proactive prevention in operating accelerator ...

Conclusions The RF classifier emerged as the top-performing model for predicting children in Tanzania who have not received any vaccinations. This comprehensive approach enabled the accurate ...

Building a PC for AI or machine learning is very different from making your own gaming machine. Here are some top tips so you won't go wrong.

In this work detection of fire in an image is done by extracting features using Deep learning algorithm and with those features as input to machine learning algorithm, a model is build with the help ...

In recent years, significant advances in prediction algorithms have also been made. For example, Ahijevych et al. (2016) used the Random Forest (RF) algorithm to make the probability forecast of the ...

Random Forest (RF) Machine Learning (ML) Algorithm The RF ML algorithm is based on an ensemble of decision trees that are randomly generated from a set of input (or predictor) features, and the output ...