technocracy

arXiv:2602.23513v1 Announce Type: new Abstract: Wi-Fi deauthentication attacks remain a practical denial-of-service (DoS) threat by exploiting unprotected management frames to disrupt client connectivity. In this work, we introduce a software-defined testbed to measure Wi-Fi resilience to deauthentication attacks. We experimentally evaluate five wireless security configurations: open networks, WPA1, WPA2 without Protected Management Frames (PMF), WPA2 with PMF, and WPA3. Using controlled experiments, we measure client disconnection rates, packet injection volume, and time-to-disruption under each configuration. Packet-level behavior is […]

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arXiv:2601.02573v1 Announce Type: new Abstract: Credit risk assessment is essential in the financial sector, but has traditionally depended on costly feature-based models that often fail to utilize all available information in raw credit records. This paper introduces LendNova, the first practical automated end-to-end pipeline for credit risk assessment, designed to utilize all available information in raw credit records by leveraging advanced NLP techniques and language models. LendNova transforms risk modeling by operating directly on raw, jargon-heavy credit bureau […]

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arXiv:2602.16756v1 Announce Type: new Abstract: We introduce NESSiE, the NEceSsary SafEty benchmark for large language models (LLMs). With minimal test cases of information and access security, NESSiE reveals safety-relevant failures that should not exist, given the low complexity of the tasks. NESSiE is intended as a lightweight, easy-to-use sanity check for language model safety and, as such, is not sufficient for guaranteeing safety in general — but we argue that passing this test is necessary for any deployment. […]

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arXiv:2602.12305v1 Announce Type: new Abstract: Generating high-performance CUDA kernels remains challenging due to the need to navigate a combinatorial space of low-level transformations under noisy and expensive hardware feedback. Although large language models can synthesize functionally correct CUDA code, achieving competitive performance requires systematic exploration and verification of optimization choices. We present OptiML, an end-to-end framework that maps either natural-language intent or input CUDA code to performance-optimized CUDA kernels by formulating kernel optimization as search under verification. OptiML […]

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Enterprise mobile apps are no longer optional in 2026. This list highlights 11 top US-based mobile app development companies trusted by enterprises for scalable, secure, and future-ready apps. From AI-driven innovation to deep backend integration, these firms help businesses modernize operations, improve UX, and stay competitive.

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arXiv:2601.09002v1 Announce Type: new Abstract: Processing in Memory (PIM) and similar terms such as Compute In Memory (CIM), Logic in Memory (LIM), In Memory Computing (IMC), and Near Memory Computing (NMC) have gained attention recently as a potentially “revolutionary new” technique. The truth, however, is that many examples of the technology go back over 60 years. This document attempts to provide an annotated bibliography of PIM technology that attempts to cover the whole time-frame, and is organized to […]

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The study by Jung et al. (Jung H, Covino R, Arjun A, et al., Nat Comput Sci. 3:334-345 (2023)) introduced Artificial Intelligence for Molecular Mechanism Discovery (AIMMD), a novel sampling algorithm that integrates machine learning to enhance the efficiency of transition path sampling (TPS). By enabling on-the-fly estimation of the committor probability and simultaneously deriving a human-interpretable reaction coordinate, AIMMD offers a robust framework for elucidating the mechanistic pathways of complex molecular processes. This commentary provides a discussion […]

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Last week, while scrolling through security advisories, I stopped cold on a headline from Aikido Security. A threat actor called GlassWorm had compromised at least 151 GitHub repositories between March 3 and March 9. The attack had also spread to npm packages and VS Code extensions. And the payload was invisible. Not obfuscated. Not minified. Literally invisible to the human eye, hidden inside Unicode characters that render as blank space in every code editor on the planet. I […]

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arXiv:2603.09742v1 Announce Type: cross Abstract: Neural oscillators that originate from the second-order ordinary differential equations (ODEs) have shown competitive performance in learning mappings between dynamic loads and responses of complex nonlinear structural systems. Despite this empirical success, theoretically quantifying the generalization capacities of their neural network architectures remains undeveloped. In this study, the neural oscillator consisting of a second-order ODE followed by a multilayer perceptron (MLP) is considered. Its upper probably approximately correct (PAC) generalization bound for approximating […]

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Recently, when forming radar video frames for surface mapping, group-interacting compact onboard radar systems (CORS) are increasingly being utilized. In this context, for the cooperative functioning of the group, each compact radar should use its own unique marked signal as the probing signal. This signal must be distinguishable in the common channel and should not destructively affect the probing signals emitted by other radars within the group. This organization allows for associating the marked signals reflected from the […]

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