The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

A study, which researchers from the U.S. and Germany published last year, found TikTok's algorithm "exploits user interests in 30% to 50% of the recommendation videos", after examining data from 347 ...

NTAP deepens its F5 collaboration to boost AI data performance and deliver quantum-ready security across enterprise S3 ...

F5 (NASDAQ: FFIV) has announced an expanded collaboration with NetApp, the intelligent data infrastructure company, to drive high-performance AI data delivery and prepare enterprises for the ...

School of Computer Science, Rocket Force University of Engineering, Xi'an, Shaanxi, China Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

For users, few things are more frustrating than encountering unavailable services or unexpected downtime. Load balancing significantly reduces these occurrences through its built-in redundancy and ...

Online Set Cover and Load Balancing are central problems in online optimization, and there is a long line of work on developing algorithms for these problems with convex objectives. Although we know ...

Built on eBPF technology, the Isovalent Load Balancer is designed to run in any environment, from servers and virtual machines in the data center, to the public cloud, to Kubernetes containers. Since ...