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edge computing

3,069 papers

#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 version): 10....

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

Epistemic Inventory and Taxonomy of Claims

Here we present four companion documents for the program corpus listed below. The Taxonomy of Claims lists the theory's claims and assigns each one a status. The claims are grouped in four tiers: Framework (the laws and constants, which the theory does not derive), Derived from Framework (quantities computed from the f...

Scott Weller · 0 citations
#edge computing Open access Sep 2026

Epistemic Inventory and Taxonomy of Claims

Here we present four companion documents for the program corpus listed below. The Taxonomy of Claims lists the theory's claims and assigns each one a status. The claims are grouped in four tiers: Framework (the laws and constants, which the theory does not derive), Derived from Framework (quantities computed from the f...

Scott Weller · 0 citations
#reinforcement learning Open access Sep 2026

LUPittore: software che impara da solo a dipingere come un umano, prima versione, verrà accelerato l'apprendimento

# LUPittore[cite: 2] ## Description[cite: 2] LUPittore is an autonomous, standalone Python desktop application for Windows 10 and Windows 11 combining raster canvas manipulation, multilayer digital compositing, procedural brush engines, and autonomous stroke-based rendering (SBR)[cite: 2]. The software is implemented e...

Luigi Usai · 0 citations
#artificial intelligence Book Sep 2026

AI-Driven IoT (AIIOT) in Brain Health Study

Context and Justification The prevalence of neurodegenerative diseases around the world demands a paradigm change from reactive, episodic clinical diagnosis to ongoing, proactive neuro-monitoring. The possibility for early detection and individualized management is limited by the fact that traditional diagnostic techni...

Kutubuddin Sayyad Liyakat Kazi · 0 citations
#machine learning Preprint Sep 2026

H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression

H3DNAS is presented, a hardware-aware model compression framework that operates directly on ONNX computational graphs without requiring original source code, architecture class definition, or gradient access during search during search, and is the first source-code-free compression pipeline for 3D point cloud models.

Anchit Mulye, R. Baghel, Sujay Kumar Ingle et al. · 0 citations
#machine learning Preprint Sep 2026

InKAN: B-Spline KANs via Truncated Power Form

Kolmogorov-Arnold Networks (KANs) place learnable B-spline activations on network edges rather than fixed activations on nodes. The standard Cox-de Boor recursion evaluates these activations through $k$ sequential passes for degree-$k$ splines, consuming over 90% of forward-pass time. InKAN replaces this recursion with...

N. Mysore · 2 citations
#edge computing Open access Sep 2026

Cumulative Intraoperative Hypothermic Burden, Transfusion, and Estimated Blood Loss: A Retrospective Cohort Study

Superseded. This record is retired and should not be used or cited. It is replaced by 10.5281/zenodo.22234051, which is the archive accompanying the manuscript. Version v2.0.0 of this record (10.5281/zenodo.22232689) additionally contained files that should not have been distributed and its removal has been requested....

Fabrice Tiku Nyambod · 0 citations
#edge computing Book Sep 2026

Improving Classifier Latency at the Edge through ARM Helium

The increasing diffusion of intelligent devices at the network edge has led to a growing demand for efficient on-device inference, capable of overcoming the limitations of traditional cloud-centric computing paradigms. This work investigates the acceleration of decision tree–based inference on resource-constrained edge...

L. Abate, Mario Barbareschi, Antonio Emmanuele · 0 citations
#edge computing Open access Sep 2026

Cumulative Intraoperative Hypothermic Burden, Transfusion, and Estimated Blood Loss: A Retrospective Cohort Study

Analysis pipeline for a retrospective cohort study of cumulative intraoperative hypothermic burden, intraoperative red cell transfusion, and estimated blood loss in 2,567 adults undergoing non-cardiac surgery, using the open VitalDB perioperative database. Scripts run in numeric order: 01-14 reproduce the originally su...

Fabrice Tiku Nyambod · 0 citations
#edge computing Open access Sep 2026

Utility Maximization Integrating Secrecy, Energy Consumption, and Latency for UAV-Assisted MEC Systems via Dual-Replay TD3

A utility maximization problem to jointly optimize UAV trajectory and task-offloading decisions in UAV-assisted MEC systems against multiple eavesdroppers is formulated and an enhanced twin-delayed deep deterministic policy gradient (TD3) framework integrating Hindsight Experience Replay (HER) and Prioritized Experienc...

Yi-Shan Zang, Ying Su, Jing Zhang 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

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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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