Understanding the inter-relationships between traffic flow, density, and speed through the study of the fundamental diagram of road traffic is critical for traffic modelling and management.

This paper proposes a learning-based adaptive-scenario-tree model predictive control (MPC) approach with probabilistic safety guarantees using Bayesian neural networks (BNNs) for nonlinear systems.

Scientists are using cryo-preservation to help a Queensland tree which is on the brink of extinction. There are fewer than 400 in the wild and with increasing threats, the race is on to save it.