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edge computing

2,572 papers

#edge computing Open access Sep 2026

AV-IMAP (Agrivoltaic Irradiance Mapping and Analysis Platform): A Numerical Framework for Canopy-Top Irradiance Mapping and Edge-Effect Analysis in Finite Agrivoltaic Systems

The AV-IMAP Simulator is a MATLAB-based computational tool for evaluating solar irradiance and shading characteristics of agrivoltaic (AV) panel configurations. The model is developed to compute the spatial and temporal distribution of direct, diffuse, total ground irradiance beneath photovoltaic (PV) arrays, and AV an...

Saad Mahbub Chowdhury, Noor Mohammed Naushad, M. Ryyan Khan · 0 citations
#edge computing Open access Sep 2026

Onboard Artificial Intelligence and Edge Computing for Spacecraft - a Review

Spacecrafts gather more data than they can send back to Earth. When a satellite is in low earth orbit, it can be in contact with a ground station for just a few minutes during one orbit while constantly collecting data from its instruments, and a large portion of the data gathered is wasted due to cloud obstruction or...

Henil Diwan · 0 citations
#edge computing Review Sep 2026

Wearable Electrochemical Sweat Sensors Beyond Snapshots With Long‐Term Stability

A stability‐centered framework is established to systematically untangle the multi‐dimensional failure mechanisms across four primary sensing modalities, including ion‐selective potentiometric, enzymatic, nanozyme‐based, and affinity‐based sensors.

Min Wang, Chang-Xin Li, He-Peng Yang et al. · 0 citations
#edge computing Open access Sep 2026

real-time adaptive optics (AO) control and low-latency edge computing

Large ground-based astronomical telescopes deliver blurry images due to perturbations introduced by Earth's atmosphere. To recover sharp images, these distortions must be optically corrected in real time by an adaptive optics (AO) system. The control system that performs this task must operate thousands of optical sens...

Olivier Guyon, Vincent Deo, Jared Males et al. · 0 citations
#edge computing Open access Sep 2026

The Law of Action: Behavioural Choice on Three Axes, and Its Domain of Definition

Abstract Given the state of a subject and the state of the environment he is in, under what conditions does the question "what should be done next" have a determinate answer, and where does that answer lie. This paper gives a computable form and marks out its domain of definition. First, location on three axes. The sta...

Qinfu Li · 0 citations
#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

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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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