Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

A new study enhances hydrogen molecule predictions, achieving unprecedented precision in testing fundamental physics and ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Abstract: Day ahead scheduling of power generation resources has turned out to be complex and challenging optimization problem with the integration of Renewable energy sources to the power grid.

Abstract: Model Predictive Control has emerged as a popular tool for robots to generate complex motions. However, the real-time requirement has limited the use of hard constraints and large preview ...