AI can help design AI systems: automating architecture choices, discovering algorithms, and optimizing hardware ...
That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...
With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...
EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...
As algorithms become more widespread within government institutions, there are two basic challenges. One is to design better ...
Designing system algorithms remains challenging, where the discontinuous nature of the solution space often forces system engineers to rely on generic heuristics at the expense of performance. We ...
Abstract: This article investigates the distributed optimization problem for nonlinear multiagent systems (MASs) with full-state time-varying constraints and unknown nonidentical control directions ...
A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.
Abstract: To tackle the multiconstraint unbalanced target allocation challenge for UAV swarms in distributed mission scenarios, we introduce the prescribed-time distributed consensus-based target ...
Background: Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and ...
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