Gut bacteria are known to be a key factor in many health-related concerns. However, the number and variety of them is vast, as are the ways in which they interact with the body's chemistry and each ...

Gut bacteria are known to be a key factor in many health-related concerns. However, the number and variety of them is vast, ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at Northeastern University in Boston, US, where he teaches generative AI ...

Bayesian networks: Particularly suited for applications where interpretability, uncertainty quantification and causal reasoning are important, such as medical diagnosis, risk assessment, and ...

2.1 Bayesian inference with importance sampling Existing neural networks using variational-based inference methods such as belief propagation (BP) (Yedidia et al., 2005) and Monte Carlo (MC) (Nagata ...

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 ...

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 ...