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What Happens When Your Team Adds Azure to AWS and GCP

It usually starts with one reason. A new enterprise client requires Azure. Or the company gets acquired by a Microsoft shop. Or the data team wants Azure OpenAI…

Open Source Radar · 2026-11-06: Browser tools for agents move to the command line

By Renchao Wu. Originally published on widechaos.cn . These five projects come from the GitHub Trending entry point captured on 2026-11-06, plus keyword search …

Crypto Swaps Explained: How to Exchange USDT, TRX, and Other Tokens Without Making Costly Mistakes

You have USDT. You need TRX. A few clicks should be enough, right? Not necessarily. Before exchanging cryptocurrency, there are several things every user should…

Binance hack reportedly began with fake job interviews Attackers compromised developer devices, reached internal wallet infrastructure and stole billions Your strongest firewall cannot protect an or

APIOps for Azure API Management: Extract, Review and Publish with the APIOps CLI

Who wins when Bicep and the Azure portal disagree about a policy on the same API Management instance, and how do you find out before a partner does? In the orde…

Quantum communication: a discrimination approach

arXiv:2610.40358v2 Announce Type: replace-cross Abstract: We develop a state discrimination approach to unassisted quantum communication through a noisy quantum…

Emergent Generalization by Representation Learning in Artificial Neural Networks

arXiv:2607.10430v2 Announce Type: replace-cross Abstract: Dimensionality reduction has proven powerful for identifying neural manifolds, which are low-dimension…

Principles of Quantum Communication Theory: A Modern Approach

arXiv:2011.04672v3 Announce Type: replace-cross Abstract: This is a preliminary version of a book in progress on the theory of quantum communication. We adopt a…

Product Expansion of Random Codes via Analytic Techniques

arXiv:2610.02512v2 Announce Type: replace Abstract: Beginning with the work of Dinur, Lin, and Vidick (FOCS, 2024), tensor codes with constant product expansion…

Quantitative Tiling Stability From Quadratic Discrepancy In Hamming Spaces

arXiv:2608.25716v3 Announce Type: replace Abstract: Quadratic ball discrepancy measures how uniformly a code meets Hamming balls over all centers and radii. Per…

Finding solutions with the Borsuk-Ulam theorem

arXiv:2610.39092v2 Announce Type: replace-cross Abstract: Many problems in nonlinear analysis, game theory, economics, and geometry have existence proofs based …

LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models

arXiv:2601.21623v3 Announce Type: replace-cross Abstract: Mixed-precision computations are a hallmark of the current stage of AI, driving the progress in large …

Faster Linear Algebra Algorithms with Structured Random Matrices

arXiv:2508.21189v2 Announce Type: replace-cross Abstract: To achieve the greatest possible speed, practitioners regularly implement randomized algorithms for lo…

Impact of metric characteristics of the matrix graph on the convergence of the conjugate gradient method

arXiv:2610.15393v2 Announce Type: replace Abstract: A model of propagation and accumulation of errors caused by round-off errors during conjugate gradient (CG) …

Residual-based error control for neural Galerkin reconstruction of minimum-norm wave controls

arXiv:2610.15220v2 Announce Type: replace Abstract: We analyse how errors in independently approximated adjoint waves propagate into the Hilbert Uniqueness Meth…

A fully discrete LBRFD-IPDG method for linear fourth-order parabolic equations

arXiv:2608.19250v2 Announce Type: replace Abstract: We propose a fully discrete method for linear fourth-order parabolic equations with Dirichlet boundary condi…

Symplectic Hamiltonian Direct Discontinuous Galerkin Method for Wave Propagation

arXiv:2607.10652v2 Announce Type: replace Abstract: This paper presents a symplectic Hamiltonian direct discontinuous Galerkin (DDG) method for approximating wa…

Speed limits for information acquisition in stochastic learning dynamics

arXiv:2609.08219v2 Announce Type: replace-cross Abstract: Neural networks acquire internal representations through learning. In this work, we formulate stochast…

Deep Barycentric Regression for Optimal Transport Map Estimation and Its Statistical Optimality

arXiv:2609.06598v2 Announce Type: replace-cross Abstract: The optimal transport (OT) map provides a geometric transformation for aligning probability distributi…

Geometry-Constrained Kolmogorov-Arnold Networks: Learning Edge Geometry via Banach Duality

arXiv:2608.25807v2 Announce Type: replace-cross Abstract: Kolmogorov-Arnold Networks (KANs) learn univariate functions on edges, making the choice of edge respo…