Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...

Abstract: In this paper, an iterative mixed integer linear programming (MILP) algorithm based on the traditional MILP algorithm is proposed to realize the multi-task assignment of unmanned aerial ...

After years of butting up against an all-white Boston School Committee that refused their demands, Black activists took the ...

Stop deploying AI models with inflated performance scores. Sleuth detects hidden bias caused by tweaking hyperparameters, prompts, or datasets during evaluation—breaking circular reasoning in AI ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet connectivity, and cloud computing resources. Organizations should upgrade ...

Abstract: This article studies the consensus problem in multiagent systems under the challenge of an unknown system model and limited communication resources. A novel model-free adaptive learning ...