The energy sector is undergoing a profound transition from conventional, centrally managed electricity systems toward intelligent, connected and increasingly decentralized smart energy ecosystems. This transformation is being accelerated by Artificial Intelligence (AI), the Internet of Things (IoT), advanced data analy...
Pothureddy Gowthami, JULURE MURALI, Ms. Gingupalli Jyothi et al.· Zenodo (CERN European Organi...· 0 citations
Graph partitioning is a fundamental problem in various fields, including computer graphics, high-performance computing, and network design. Traditional graph partitioning algorithms often suffer from high computational complexity, particularly when dealing with large and complex graphs. This research investigates the p...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
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The present analysis reframes African computer engineering as a problem of design under persistent intermittency, cost ceilings and maintenance scarcity rather than as delayed adoption of imported architectures. It asks why performance, energy and reliability models calibrated for stable grids and dense service network...
Priyanka Ramlugun, Marie-Noëlle Agathe, Jonathan Wong Ah-Chong· Zenodo (CERN European Organi...· 0 citations
This is a preregistered secondary analysis of public adult sepsis transcriptomic cohorts. We will evaluate a fixed, equally weighted five-gene host-response score whose gene directions were derived from infection-versus-reference comparisons without using mortality outcomes. The score is anchored to primary-source-veri...
This paper presents a novel approach to distributed resource scheduling utilizing a multi-agent collaborative framework. The core claim is that through the orchestrated interaction of multiple intelligent agents, dynamic and optimized scheduling of distributed resources can be achieved, ultimately enhancing resource ut...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Simulation result findings proves the proposed system’s effectiveness, highlighting the crucial improvements in reducing makespan, enhancing energy efficiency, and optimizing resource utilization as compared to the traditional static and single-criteria scheduling strategies.
Neetu Bansla, Oshin Sharma, P. Sharma· Discover Computing· 0 citations
SYM-1 of Symmetry ARC Integrated Role-Occupancy Closure and Locus-Sensitive Gauge Audit This paper separates the load-bearing gauge architecture of the Standard Model from representative gauge operations that function only as gauge skin at a specified locus. It develops an integrated, fixed-target classification of gau...
Amos Jay Maley Maley· Zenodo (CERN European Organi...· 0 citations
This paper proposes a novel approach to edge computing resource sharing leveraging blockchain technology. Traditional edge computing platforms often suffer from centralized control, leading to vulnerabilities and a suboptimal utilization of resources. This research introduces a decentralized system where edge computing...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
SYM-1 of Symmetry ARC Integrated Role-Occupancy Closure and Locus-Sensitive Gauge Audit This paper separates the load-bearing gauge architecture of the Standard Model from representative gauge operations that function only as gauge skin at a specified locus. It develops an integrated, fixed-target classification of gau...
Amos Jay Maley Maley· Zenodo (CERN European Organi...· 0 citations
Stable release for Windows. Includes all core EIS fitting features. What's New in v3.0.0 ZScope 2.x.x was a very good tool for fitting one spectrum. This release is about everything around that: understanding what your circuit is doing, controlling how it is fitted, deciding which circuit is right, and — the reason for...
Tecush Mohammadi, Tayebeh Sharifi· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
