Training a frontier AI model means keeping thousands of GPUs synchronized for weeks on end. When a single network link fails, ...
When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...
ABSTRACT: Effective household waste management in developing cities requires optimization approaches adapted to local constraints. This article proposes a methodological framework for bi-weekly ...
Train Seq-MADAC with MOEA/D in different tasks. # Train python algos/madac/main.py --config=sadn_ns --env-config=moea with env_args.key=M_2_46_3 Train Seq-MADAC with 10 D Seq-Sigmoid-Mask. python ...
When the maritime trade union Nautilus International asked memberswhat they thought of AI at a forum in January, there was some positive sentiment: “We shouldn’t automatically assume there will be ...
Abstract: This paper presents an AI-driven approach for multi-zonal clustering and harness routing optimization in automotive electrical/electronic (E/E) systems. A methodology integrating K-means ...
Abstract: As key enabling technologies for 5G, edge computing pushes computing resources to the edge close to IoT users, enabling low-latency services. Meanwhile, network function virtualization ...
Nagle's algorithm can hinder rather than help applications that are latency sensitive. Normally, disabling Nagle's algorithm is something that you can only achieve by setting socket options, I would ...