Italian architect and researcher Dr. Chiara Mazzarella has long been captivated by the idea of finding better ways to use ...
Abstract: Training robots to acquire surgical skills poses significant challenges, primarily due to the limited availability of comprehensive datasets and safety ...
Abstract: This paper introduces a novel multi-agent federated deep reinforcement learning (MA-FDRL) framework designed to minimize vehicular task offloading latency in electrified road (eROAD) ...
This is the official repository for our WACV 2025 paper, "A Multi-task Supervised Compression Model for Split Computing". Split computing (/= split learning) is a promising approach to deep learning ...
This huge event, geared for model train enthusiasts, had dozens of vendors to choose from, along with operating layouts, including one with Legos, and kids' activities. Senate Democrats, Republicans ...