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edge computing

2,975 papers

#edge computing Open access Sep 2026

kpenvelope: self-consistent six-band k.p envelope-function solver for wurtzite heterostructures

Experimental-conditions release: the two knobs every measurement actually has -- a temperature and lab units -- plus an honest convergence report. Added Finite-temperature subband filling. fill_subbands_thermal implements the closed form n_i = dos_i kT ln(1 + exp((E_i - E_F)/kT)) for 2D parabolic hole subbands, and tem...

Tanvir M. Mahim · 0 citations
#edge computing Sep 2026

Energiebewustzijn voor het Internet of Things

The Internet of Things (IoT) is a pervasive ecosystem, currently comprising more than 20 billion connected devices. This widespread deployment of devices allows ubiquitous sensing, communication, and new levels of human-computer interaction. However, these devices must contend with unpredictable user demands and highly...

Brendan James Mackenzie · 0 citations
#explainable ai Open access Sep 2026

Channel Theory for Polynomial Continued Fractions: Asymptotic Channels, the ξ₀ = 2/√β₂ Identity, and a Bridge Conjecture

Correction notice (v1.5). This version demotes a claim. Clause (iii) of Theorem 3.7 -- the match between the CC-channel connection-coefficient ratio and the Riemann--Hilbert datum of P_V/D_5^(1) at the V_quad tau parameter -- was stated as part of a theorem through v1.4. It is not a theorem of this paper and is recorde...

papanokechi papanokechi · 0 citations
#explainable ai Open access Sep 2026

Channel Theory for Polynomial Continued Fractions: Asymptotic Channels, the ξ₀ = 2/√β₂ Identity, and a Bridge Conjecture

Correction notice (v1.5). This version demotes a claim. Clause (iii) of Theorem 3.7 -- the match between the CC-channel connection-coefficient ratio and the Riemann--Hilbert datum of P_V/D_5^(1) at the V_quad tau parameter -- was stated as part of a theorem through v1.4. It is not a theorem of this paper and is recorde...

papanokechi papanokechi · 12 citations
#edge computing Open access Sep 2026

A guaranteed-level repair for Welch's two-sample t, which silently over-rejects under skew, heteroscedasticity, and small samples (m01t) — reproducibility deposit

A skew-robust, level-controlled repair for Welch's two-sample t, which silently over-rejects under skew, heteroscedasticity, and small samples 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 la...

William Dwyer · 0 citations
#artificial intelligence Open access Sep 2026

Agentic AI and the Dissolution of Managerial Authority: Organisational Sensegiving in Autonomous Decision-Making Systems

Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Sep 2026

Agentic AI and the Dissolution of Managerial Authority: Organisational Sensegiving in Autonomous Decision-Making Systems

Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...

Kwan Hong TAN · 0 citations
#edge computing Sep 2026

Hybrid feature engineering for resource-efficient Arrhythmia detection in electrocardiogram signals: An interpretable, separability-driven framework.

Under leakage-controlled inter-patient evaluation, causal physiological representations enable an interpretable linear model to achieve efficient and competitive arrhythmia detection potentially suitable for resource-constrained wearable and bedside decision-support systems, matching the discriminative evidence exploit...

Moirangthem Tiken Singh, Manibhushan Yaikhom, R. K. Prasad · 0 citations
#reinforcement learning Open access Sep 2026

Intelligent Cloud Resource Allocation Using Reinforcement Learn-ing: Evaluating Accuracy, Adaptability, and Efficiency

Elastic clouds must continuously decide how much compute, memory and storage capacity to grant to workloads whose intensity and mix change from minute to minute, and classical threshold, queueing and forecasting controllers struggle to hold that balance without either over-provisioning or violating service level agreem...

Rupal Singh Thakur, Navneet Kaur, Mohit Singh Tomar · 0 citations
#reinforcement learning Open access Sep 2026

Intelligent Cloud Resource Allocation Using Reinforcement Learn-ing: Evaluating Accuracy, Adaptability, and Efficiency

Elastic clouds must continuously decide how much compute, memory and storage capacity to grant to workloads whose intensity and mix change from minute to minute, and classical threshold, queueing and forecasting controllers struggle to hold that balance without either over-provisioning or violating service level agreem...

Rupal Singh Thakur, Navneet Kaur, Mohit Singh Tomar · 0 citations
#large language models Open access Sep 2026

Open White Paper on Geophysical Computing: Ubiquitous Decentralized Computing Bus and Multi-Track Decoupled Dynamo Architecture (Project Amanda, Version 2.2)

This white paper presents Project Amanda (Version 2.2), a novel decentralized neuromorphic hardware architecture designed to break through the constraints of conventional deterministic computing paradigms. Conventional neuromorphic computing relies excessively on cost-prohibitive pre-hardware perceptual training and cu...

tao Luo · 0 citations
#large language models Dataset Open access Sep 2026

Large Language Model-Enhanced Multi-Agent Reinforcement Learning for Autonomous Enterprise Workflow Orchestration via Graph Semantic Routing

# LeMARLA **Large Language Model-Enhanced Multi-Agent Reinforcement Learning for Autonomous Enterprise Workflow Orchestration via Graph Semantic Routing.** LeMARLA couples an LLM-driven task decomposition module, a heterogeneous graph attention routing module over tasks, employees and skills, and a CTDE multi-agent rei...

Peizhi He · 0 citations

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Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

Microsoft Research Blog Oct 21, 2026

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

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 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.

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