Beyond high performance, the RL framework’s main advantage lies in its real-time application potential. Once trained, the ...

Problems are only piling up, and no solutions are in sight. The case that sparked renewed dissatisfaction among education ...

Scientists from China have developed a breakthrough asynchronous optical computing accelerator based on wavelength encoding.

Your internal bodily awareness, like sensing your heartbeat, may influence how closely your moral decisions align with social ...

Projected economic benefits of using AI-powered detection/diagnostic Software as a Medical Device, like eyonis® LCS, will be presented at ISPOR 2025, the annual conference of the ...

First, to improve the performance of a 2-D convolutional neural network (2DCNN), low-frequency features with ... the posterior energy of hidden Markov random field (HMRF) is modified by using Gaussian ...

This is a Java implementation of the Bayesian Network and its inference methods Variable Elimination (VE) and Markov Chain Monte Carlo (MCMC). This program supports querying the network with different ...

In this work we investigate how Layer wise Scaled Gaussian Priors perform with Markov Chain Monte Carlo trained Bayesian neural networks. From our experiments on 8 classifications datasets of various ...

The np_bnn library is a Python implementation of Bayesian neural networks for classification, using the Numpy and Scipy libraries. The program is used in our arXiv paper. The npBNN package implements ...

In a new study published in Physical Review Letters, scientists have estimated a new lower bound on the mass of ...