Paper III of the Guarino Infrastructure Dependency Metric (GIDM). Abstract. Papers I and II of this series derived the buffer group ΠB = Ta/Tx on every edge of an infrastructure dependency graph and tested it on the February 2021 Texas chain, leaving two things open: the water edge below the tap, which Paper I could va...
Brian Guarino· Zenodo (CERN European Organi...· 0 citations
Precision calculations in quantum field theory rely very often on perturbation theory and thus on the computation of Feynman integrals. Feynman integrals are also fascinating objects from a mathematical point of view and show deep connections to algebraic geometry. Cutting-edge Feynman integrals usually have geometries...
Stefan Weinzierl· Proceedings of Loops and Leg...· 0 citations
Abstract: Modern automated computing systems increasingly deploy Large Language Models (LLMs) to resolve runtime operational triage, incurring prohibitive latency (>100–500 ms), severe memory allocation (>4–8 GB VRAM), and high thermodynamic dissipation. Extending the foundational theory of Mandelbrot Fractal Neural Sy...
In this thesis, we aim to set some important steps towards better understanding the role of the Casimir effect in the fundamental mechanism behind color confinement. We investigate the Casimir effect in several settings using a functional methodology. This method is flexible with regard to the specific boundaries and t...
Sebbe Stouten· Lirias· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
In the Industrial Internet of Things (IIoT), secure data sharing via edge computing is pivotal for enabling collaborative manufacturing. However, existing bilateral access control (BAC) schemes suffer from a “Transmit-then-Verify” limitation: full ciphertexts must be transmitted before privilege verification, causing s...
Wenqi Chen, Yusun Fu, Zihao Wang et al.· IEEE Internet of Things Jour...· 0 citations
Edge intelligence is revolutionizing the Internet of Things (IoT) by migrating AI training from centralized clouds to distributed end devices. However, enabling continual learning (CL) on edge nodes faces a “rigid triangle constraint” of restricted memory, limited computation, and battery-dependent energy, heavily dict...
Ruo-Tong Yang, Dawei Bie, Dao-Chun Li et al.· IEEE Internet of Things Jour...· 0 citations
The rapid development of uncrewed aerial vehicles (UAVs) has expanded the application scenarios of mobile edge computing (MEC). However, existing multi-UAV collaborative MEC schemes usually rely on fixed cooperation structures or limited collaboration mechanisms, making it difficult to fully utilize distributed UAV com...
Zhenguo Gao, Wen-Hui Ye, Qingyu Gao et al.· IEEE Internet of Things Jour...· 0 citations
Cloud–edge collaborative inference has emerged as a promising paradigm to address the latency, energy, and privacy challenges of large language models (LLMs). However, current offloading mechanisms often struggle to efficiently capture the dynamic semantic dependencies between historical context and ongoing queries. Th...
Xianzhong Tian, Yu Wang, Guanpeng Zhu· IEEE Internet of Things Jour...· 0 citations
Due to limited computing resources and severe blockage in dense urban environments, uncrewed aerial vehicle (UAV)-enabled mobile edge computing (MEC) faces significant challenges in serving the Internet of Things (IoT) devices. In this article, by deploying multiple simultaneously transmitting and reflecting reconfigur...
Long Jiao, Ling Gao, Jie Zheng et al.· IEEE Internet of Things Jour...· 0 citations
Energy-efficient neuromorphic hardware with ultralow power consumption is increasingly promising for edge–artificial intelligence (AI) applications. Most digital neuromorphic hardware is designed with asynchronous circuits as they naturally match the sparsity and event-driven features of neuromorphic computing. However...
Jian Zhang, Yuan Hua, Ji-Lin Zhang et al.· IEEE Transactions on Compute...· 1 citation
This is the extended, definitive version (v16.2) of the P0_Distilled research programme, with full technical appendices — it supplements the distilled entry-point paper (P0_Distilled_v0.1) with the complete Lakatosian structure, derivations, and experimental protocol. The programme's hard core is a single metaphysical...
Francesco Iavarone· Zenodo (CERN European Organi...· 0 citations
Predictive analysis techniques for crop and soil sensors have revolutionized agriculture by enabling data-driven decision-making and optimizing farming practices. This chapter begins with an overview of crop and soil stresses, highlighting their impact on agricultural productivity. It then examines enabling technologie...
Avani Vyas, Anil Pratap Singh, Shivani Sharma et al.· Internet of Things and Unman...· 0 citations
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
