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edge computing

2,492 papers

#edge computing Open access Sep 2026

Exact Permutation Moments for Walsh Interaction-Order Energies: A Projector Specialization of Quadratic-Form Randomization Theory

WHAT THIS PACKAGE DOES This reproducibility package accompanies the methods manuscript "Exact Permutation Moments for Walsh Interaction-Order Energies: A Projector Specialization of Quadratic-Form Randomization Theory" (J600, Roshankumar Chandaliya, QDL project). It provides the complete open-source implementation, exh...

Roshankumar chandaliya · 0 citations
#edge computing Open access Sep 2026

Frobenius Minimality, Minimum-Layer Uniqueness, and an Infinite Family of Huneke-Wiegand Counterexamples

Son Pham publicly identified a counterexample to the Huneke-Wiegand conjecture in the class of two-generated monomial ideals over symmetric numerical semigroup rings, subsequently verified by Professor Craig Huneke. We preserve that discovery priority and answer two different questions: how small can such an example be...

Felipe Santibañez-Leal · 0 citations
#edge computing Open access Sep 2026

fracpll: charge-pump fractional-N PLL design from measured pieces

First release: the charge-pump fractional-N loop, noise, delta-sigma, tuning-curve, lock and measurement-planning machinery distilled from a monolithic GaN-on-SOI HEMT-varactor PLL co-design study, generalized to any technology that fits a charge-pump loop -- CMOS, SiGe, GaN or board-level. The physics-informed-ML and...

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

torch-fem

Added IsotropicDamage1D, IsotropicDamagePlaneStrain and IsotropicDamagePlaneStress, so a Truss and a Planar model can carry damage. Under plane stress the out-of-plane strain follows the in-plane one and contributes to the tangent. TransverseIsotropicElasticityPlaneStress and TransverseIsotropicElasticityPlaneStrain, s...

Nils Meyer · 0 citations
#edge computing Open access Sep 2026

Physics-Informed Reconstruction of Unmeasurable Cardiac Fields from Real Data: Electrocardiographic Imaging and 4D-Flow Aortic Pressure, Verified Against Known Answers, with Null Results

Two clinically decisive cardiac quantities cannot be measured where they are needed: the heart-surface potential map (measured only with an invasive electrode cage) and the intra-vascular pressure field (measured only with a catheter). Each is tied by a governing equation to a quantity measurable non-invasively, the bo...

Felipe Santibañez-Leal · 0 citations
#edge computing Dataset Open access Sep 2026

A multimodal dataset of computed spectra for organic molecules with a chemistry-constrained agent interface

24,126 computational IR, Raman, UV–Vis, fluorescence, ¹H/¹³C NMR, and C/N/O/F K-edge XANES records for 2,991 organic molecules, with a chemistry-constrained agent for reproducible workflows.

Ben Wang, Chenyang Du, Lulu Li et al. · 0 citations
#edge computing Open access Sep 2026

Edge Computing vs. Cloud Computing: Which is the Future?

As businesses strive to improve efficiency, reduce latency, and leverage the power of data, understanding the strengths and limitations of these two computing paradigms is crucial. Full article: https://davidohnstad.com/edge-computing-vs-cloud-computing-which-is-the-future/

David Ohnstad · 0 citations
#edge computing Open access Sep 2026

Two Quotients of One Machine

Two Quotients of One Machine Myhill–Nerode cut complexity and locality cohomology of binary addition Driven by Dean A. Kulik September 2026 Abstract An n-bit modular adder is read two ways, and both readings are computed exactly. Theorem A (the reader cut). Present the input positions of (a,b) ↦ a+b mod 2ⁿ in an arbitr...

Dean Kulik · 0 citations
#edge computing Open access Sep 2026

Physics-Informed Reconstruction of Unmeasurable Cardiac Fields from Real Data: Electrocardiographic Imaging and 4D-Flow Aortic Pressure, Verified Against Known Answers, with Null Results

Two clinically decisive cardiac quantities cannot be measured where they are needed: the heart-surface potential map (measured only with an invasive electrode cage) and the intra-vascular pressure field (measured only with a catheter). Each is tied by a governing equation to a quantity measurable non-invasively, the bo...

Felipe Santibañez-Leal · 0 citations
#edge computing Open access Sep 2026

Berge-Fulkerson Covers, Cycle Double Covers, Flows and Exact Normality Defects of the First Counterexamples to the Petersen Coloring Conjecture

Jaeger's Petersen coloring conjecture (1988), which asserted that every bridgeless cubic graph admits an edge map onto the Petersen graph sending every vertex star onto a vertex star, was refuted in August 2026: Putman exhibited two nonisomorphic 112-vertex counterexamples with SAT-solver certificates, Jooken gave a hu...

Felipe Santibañez-Leal · 0 citations
#edge computing Open access Sep 2026

Reproducibility code for inter-county distances along U.S. highway and railway networks

This software package contains the reproducibility code used to construct and validate the dataset of inter-county distances along the real-world highway and railway networks in the contiguous United States. The workflow implements the QGIS–RStudio crosswalk described in the accompanying study, integrating geographic i...

Yongxin Cai, Xinyan Li, Deniz Karakoç · 0 citations
#edge computing Open access Sep 2026

Real-Time Aerodynamic Flow Reconstruction from Ultra-Sparse Sensors via Deep Permutation Networks (DPN) and Idempotent Physical Projections

Real-time estimation of full unsteady aerodynamic flow fields $\mathbf{u}(\mathbf{x}, t) = (u, v)$ from ultra-sparse discrete sensor observations (e.g., $M \le 10$ point velocity probes across thousands of grid cells) is a foundational challenge in active flow control, wind tunnel telemetry, and unmanned aerial vehicle...

A. Emre Cetin · 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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