In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

The classifiers considered are Naïve Bayes, Neural Network, Support Vector Machine, and Decision Tree. Accuracies of all the work are shown in Table 1. The literature survey shows that the Bayesian ...

Deep learning (DL) methods have been widely applied to intelligent fault diagnosis of industrial processes and achieved state-of-the-art performance. However, fault diagnosis with point estimate may ...

Large-scale neural networks have revolutionized generative models by granting them an unprecedented ability to capture complex relationships among varies variables. Among this model family, diffusion ...

Explore how Bayesian networks in AI empower decision-making by capturing complex relationships and integrating probabilistic reasoning for better outcomes across industries. The Hackett Group ...

Neural network (NN) potentials promise highly accurate molecular dynamics (MD) simulations within the computational complexity of classical MD force fields. However, when applied outside their ...