Earth system models overestimate river flow increases, research reveals

Understanding how water moves through the Earth system is fundamental to predicting climate impacts and ensuring sustainable ...
GitHub

FUDOKI: A Unified Multimodal Model Purely Based on Discrete Flow Matching (NeurIPS 2025 spotlight)

The rapid progress of large language models (LLMs) has catalyzed the emergence of multimodal large language models (MLLMs) that unify visual understanding and image generation within a single ...

AI river forecasts may be accurate, but based on flawed logic

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
IEEE

A Stochastic Traffic Flow Model-Based Reinforcement Learning Framework For Advanced Traffic Signal Control

Abstract: In addressing the complex challenge of Traffic Signal Control (TSC), Deep Reinforcement Learning (DRL) has emerged as a popular solution. In traditional DRL methods applied to TSC problems, ...
IEEE

Evaluating the ANN Model Performance for PID Controller Tuning in Flow Process Control: A Comparative Study

Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...