Scientists at the University of Stuttgart's Institute of Aerodynamics and Gas Dynamics (IAG) have produced a novel dataset ...

DeepMind's AI has made remarkable progress in mathematical reasoning within a span of just one year.  After earning a silver ...

Katie Parrott in Working Overtime As AI races ahead, we try to step back from the fray every once in a while. Each quarter, we gather for a "think week” to reflect on our work from the previous ...

Multiagent reinforcement learning (MARL) has received increasing attention and been used to solve cooperative multiagent decision-making and learning control tasks. However, the high complexity of the ...

In this research work authors have experimentally validated a blend of Machine Learning and Nonlinear Model Predictive Control (NMPC) framework designed to track the temperature profile in a Batch ...

Warfarin is a commonly prescribed anticoagulant with a narrow therapeutic window, which requires frequent and specialized monitoring. This work aims to develop standardized optimal warfarin dose ...

We use Reinforcement Learning from Verifiable Rewards (RLVR) to train MemAgent, extending the DAPO algorithm to support end-to-end optimization of Agent Workflows with multi-turn context-independent ...