Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach ...
Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...
Abstract: Evolutionary reinforcement learning (ERL), which integrates the evolutionary algorithms (EAs) and reinforcement learning (RL) for optimization, has demonstrated remarkable performance ...
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Mastering algorithms from idea to execution
From designing algorithms to analyzing their efficiency, understanding these core concepts is key to solving problems in computer science. Time and space complexity guide us in choosing the best ...
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