F5's Guardrails blocks prompts that attempt jailbreaks or injection attacks, and its AI Red Team automates vulnerability ...

Opinion: The Department of Justice's settlement with RealPage argues that the use of algorithmic pricing software itself ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...

Abstract: Low earth orbit (LEO) satellite networks can provide wider service coverage and lower latency than traditional terrestrial networks, which have attracted considerable attention. However, the ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...

This report aims to achieve the following objectives: • Describe the current methodologies used by two ISO’s (ISO New England and the New York ISO) to “factor in” the “yin-yang effect” of Behind 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 ...

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 ...