Researchers developed purNPE, a simulation-based Bayesian deep-learning framework that enables uncertainty-aware tumor fraction estimation in cell-free DNA without requiring labeled ...
A University of Manchester team has built an AI workflow that combines stakeholder weights, Bayesian deep learning and reinforcement learning ...
Researchers have built a Bayesian liquid neural network that scores posture quality while quantifying its own uncertainty and abstaining from ...
In the ever-evolving world of water resource management, the intersection of artificial intelligence and hydrology has become a fertile ground ...
