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Sub‐Terahertz Memristor Switches Using MoS2 by Liquid–Liquid Interface Assembly
This work introduces application‐ready sub‐terahertz memristor switches fabricated from electrochemically exfoliated MoS2 nanosheets assembled at a liquid–liquid interface. The devices exhibit robust unipolar resistive switching, low insertion loss, and high isolation across 10–110 GHz.
Tomás Mingates +15 more
wiley +1 more source
From generative AI to the brain: five takeaways. [PDF]
Gros C.
europepmc +1 more source
Multicolor cathodoluminescence imaging of single lanthanide nanoparticles. [PDF]
Abdul Rehman S +9 more
europepmc +1 more source
Generative models for antimicrobial peptide design: auto-encoders and beyond. [PDF]
Beierle L +4 more
europepmc +1 more source
Spatial richness of neural magnetic fields. [PDF]
Ali Z, Poon ASY.
europepmc +1 more source
A preregistered, open pipeline for early cerebral palsy risk assessment from infant videos. [PDF]
Segado M +4 more
europepmc +1 more source
Histomorphometrical Analyses of the Mouse Suprachiasmatic Nucleus. [PDF]
Villanueva SAMB +5 more
europepmc +1 more source
Today, auto-scaling solutions are still largely reactive and are based on the load measured on existing nodes nearing a threshold or traffic forecast information provided in advance of a scheduled event. Despite these advancements, events which cause a flash flood of web traffic do not always benefit from this approach to auto-scaling because the ...
Peter Smith +2 more
openaire +3 more sources
This paper presents an implementation -driven by Service Level Agreement (SLA)- of Cloud auto-scaling based on demand. Simulation experiments indicate that our model successfully keeps the best trade-off between SaaS provider profit and customer satisfaction without requiring manual calibration such as in Amazon Auto-Scaling.
Kouki, Yousri, Ledoux, Thomas
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AMAS: Adaptive Auto-Scaling on the Edge
2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021Despite the emergence of edge computing as a key technology paradigm, there is a general lack of auto-scaling techniques specifically designed for edge computing applications. Further, existing auto-scaling solutions tailor-made for the cloud cannot be readily applied to an application running on an edge cluster. In this paper we present AMAS - a novel
Saptarshi Mukherjee, Subhajit Sidhanta
openaire +1 more source

