InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
IEEE

A Multi-Objective Path Planning Framework in Off-Road Environments Based on Deep Reinforcement Learning

Abstract: Efficient and safe path planning is a key navigation requirement for intelligent vehicles, particularly in off-road environments characterized by complex terrain. Traditional methods focus ...
IEEE

Communication-Aware Task Allocation for the UAV Swarm Via Multi-Objective Asynchronous Policy Learning

Abstract: Distributed task allocation in UAV swarms is highly sensitive to communication overhead and frequent transmissions. Integrating reinforcement learning with task allocation shows great ...