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edge computing

2,653 papers

#edge computing Book Sep 2026

Compact Wideband Frequency Selective Surface for Electromagnetic Shielding in Cloud Computing Hardware and Infrastructure

As clouds with their higher processing density and wireless interconnectivity operate at gigahertz frequency range, they are more vulnerable to electromagnetic interferences. Interference of this kind has the effect of putting the system at risk, causing crosstalk between the components, and even possibly compromising...

Kousik Roy, Pratik Dey, Kamlesh Kumar Chaurasia et al. · 0 citations
#edge computing Open access Sep 2026

Why Fisher's exact test is least exact where it matters most: achieved size, wasted power, and a routing rule for 2x2 tables -- m02d Reproducibility deposit

Why Fisher's exact test is least exact where it matters most: achieved size, wasted power, and a routing rule for 2×2 tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest published ver...

William Dwyer · 0 citations
#edge computing Open access Sep 2026

Achieved size, borrowed power, and a routing rule for R×C contingency-table tests (m02e) -- Reproducibility deposit

When the exact test is least exact, and the χ² default most wrong: achieved size, borrowed power, and a routing rule for R×C tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell, Lowell, MA, USA. ORCID 0009-0004-0855-7222. License: MIT for all code; CC BY...

William Dwyer · 0 citations
#edge computing Book Sep 2026

Design and Implementation of a Compute-In-Memory SRAM with On-Chip MAC for Low-Power Edge Computing

Different methods have been suggested to solve the critical limitations encountered in the Von Neumann architecture: the continuous transfer of data between the memory and the processing units, leading to an increase in energy consumption and latency. This paper presents a digital design of multiply-accumulation (MAC)...

Reine Sabrina Ciella Bigirimana, Mapalo Kateka, Alson Chikengezha et al. · 0 citations
#edge computing Open access Sep 2026

Quantum Finance

Finance has gone through decades under the guidance of efficient market hypothesis and rational pricing model, but has encountered profound challenges in the face of financial crises and market anomalies: irrational fluctuations in asset prices, herding effects, foam and crashes, exposing the mechanical limitations of...

Huilin Zhao · 0 citations
#edge computing Open access Sep 2026

DS-RangeNet: Lightweight Dual-Stream LiDAR Semantic Segmentation for Industrial Indoor Environments

DS-RangeNet is introduced, a lightweight range image network that processes geometry and material-sensitive intensity in separate streams that handles shallow fusion and weak similarity after separate encoding and progressively stronger alignment during fusion.

Wen-Guang Li, Ji-Ying Ren, Jin-Shun Ou et al. · 0 citations
#edge computing Open access Sep 2026

Green Edge AI: Constant-Time Memory Stabilization and Anomaly Preservation for Industrial Cyber-Physical Systems

Continuous ingestion of high-dimensional telemetry forces predictive networks into a severe space-time trade-off, where conventional outlier rejection algorithms dilute mathematical gradients with benign idle data and induce thermal throttling on local hardware. This study introduces an $\mathcal{O}(d)$ ternary quantiz...

Chairote Yaiprasert, Achmad Nizar Hidayanto · 0 citations
#edge computing Open access Sep 2026

An Edge Computing-Enabled Optimal Control Method for Low-Voltage Distribution Networks

An edge computing-enabled optimal control method is proposed for low-voltage distribution networks organized as distribution transformer clusters (DTCs) that reduces overvoltage occurrences in TQ1 by 81.0% and eliminates undervoltage occurrences under four PV scenarios with SOP-based balancing.

Xin Wang, Liang Zhang, Yong-Sheng Yu et al. · 0 citations
#edge computing Open access Sep 2026

Phi-Coupled E8 Cascades Drive Hyperbolic Topological Quantum Computing — E8 Intelligence Research

Under the 132 Hz driving tone, the 240 E8 root vectors exhibit a phi‑symmetric eigenvalue flow that simultaneously creates two interlocking sets of topological edge modes on the {5,3,4} hyperbolic lattice. These edge modes lock into a hierarchical cascade where each level amplifies the next by the golden ratio, effecti...

Andrew Stewart Caldin · 0 citations
#edge computing Dataset Open access Sep 2026

Spatial inequalities in motorway accessibility across Europe: a settlement-level panel, 2010–2025 — data deposit

Settlement layer, full annual accessibility panel, motorway access points, 2025 rail cross-section and NUTS-3 aggregates underlying the article "Spatial inequalities in motorway accessibility across Europe: a settlement-level panel, 2010–2025" (under review). Road distance and travel time from 282,870 settlements in th...

Anonymised for double-blind review · 0 citations
#edge computing Open access Sep 2026

Quantum Max d-Cut via qudit swap operators

Quantum Max Cut (QMC) problem for systems of qubits is an example of a 2-local Hamiltonian problem, and a prominent paradigm in computational complexity theory. This paper investigates the algebraic structure of a higher-dimensional analog of the QMC problem for systems of qudits. The Quantum Max d -Cut ( d -QMC) probl...

Igor Klep, Tea Štrekelj, Jurij Volčič · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

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 Oct 15, 2026

Proof-based general-purpose computing with Magnetar

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.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

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.

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