arXiv:2601.02512v1 Announce Type: new Abstract: The rapid adoption of large language models (LLMs) has raised concerns about their substantial energy consumption, especially when deployed at industry scale. While several techniques have been proposed to address this, limited empirical evidence exists regarding the effectiveness of applying them to LLM-based industry applications. To fill this gap, we analyzed a chatbot application in an industrial context at Schuberg Philis, a Dutch IT services company. We then selected four techniques, namely Small […]

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arXiv:2602.12901v1 Announce Type: new Abstract: The multi objective bandit setting has traditionally been regarded as more complex than the single objective case, as multiple objectives must be optimized simultaneously. In contrast to this prevailing view, we demonstrate that when multiple good arms exist for multiple objectives, they can induce a surprising benefit, implicit exploration. Under this condition, we show that simple algorithms that greedily select actions in most rounds can nonetheless achieve strong performance, both theoretically and empirically. […]

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arXiv:2604.14248v1 Announce Type: new Abstract: High-level synthesis (HLS) tools offer limited support for Engineering Change Orders (ECOs), making late-stage design modifications challenging and costly. This paper introduces a graph-based ECO methodology tailored for Google XLS. A Graph Edit Distance (GED) algorithm is used to detect structural differences between original and revised intermediate representations (IRs), which are then transformed into patch operations. A patch application mechanism is developed to enforce XLS IR constraints while preserving semantic correctness, together with […]

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arXiv:2603.05201v1 Announce Type: cross Abstract: Data normalisation, a common and often necessary preprocessing step in engineering and scientific applications, can severely distort the discovery of governing equations by magnitudebased sparse regression methods. This issue is particularly acute for the Sparse Identification of Nonlinear Dynamics (SINDy) framework, where the core assumption of sparsity is undermined by the interaction between data scaling and measurement noise. The resulting discovered models can be dense, uninterpretable, and physically incorrect. To address this critical […]

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arXiv:2602.23525v1 Announce Type: new Abstract: This review article was first published in 2008 as chapter 11 in the book “Fast Fourier Transforms,” edited by C. S. Burrus, for the Connexions project at Rice University, which is sadly no longer online. It gives a high-level overview of some of the engineering considerations that arise in high-performance implementations of fast Fourier trasnforms (FFTs). It explains why optimized FFTs are very different from textbook “radix-2 Cooley-Tukey” FFT algorithms, in order to […]

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The best financial APIs in 2026 empower developers, analysts, and fintech startups with real-time and historical data for stocks, forex, crypto, and commodities. From Marketstack’s global market coverage to Intrinio’s financial statements, these APIs streamline trading, portfolio tracking, and AI-powered analysis, making enterprise-grade market insights accessible to all.

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