There’s a question you’ve asked yourself a thousand times. Why is it that you know exactly what you should be doing… and you still don’t do it? You think it’s procrastination. n Or discipline. n Or laziness. The classic explanations we reach for when nothing else makes sense. Here’s the deal, my friend. You don’t have a thinking problem. You have a nervous system problem. Your mind decides what it wants. n Your body decides what you’re allowed to […]

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arXiv:2601.08833v1 Announce Type: new Abstract: Different from traditional Large Language Model (LLM) serving that colocates the prefill and decode stages on the same GPU, disaggregated serving dedicates distinct GPUs to prefill and decode workload. Once the prefill GPU completes its task, the KV cache must be transferred to the decode GPU. While existing works have proposed various KV cache transfer paths across different memory and storage tiers, there remains a lack of systematic benchmarking that compares their performance […]

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arXiv:2602.21343v1 Announce Type: new Abstract: Decentralized Federated Learning (DFL) eliminates the need for a central aggregator, but it can expose communication patterns that reveal participant identities. This work presents UnlinkableDFL, a DFL framework that combines a peer-based mixnet with fragment-based model aggregation to ensure unlinkability in fully decentralized settings. Model updates are divided into encrypted fragments, sent over separate multi-hop paths, and aggregated without using any identity information. A theoretical analysis indicates that relay and end-to-end unlinkability improve […]

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Accurate evaluation of extremely small Gaussian tail probabilities is essential in statistical meta-analyses, in which large z-scores (often exceeding 8 or 9) must be converted into p-values. Meanwhile, direct numerical integration of complementary error function erfc(a) suffers from severe underflow in floating-point arithmetic. In this paper, a simple and robust approximation scheme for log[erfc(a)] is proposed based on a geometric tangent construction. This approach yields explicit lower and upper bounds, closed-form asymptotic expansions up to order a^-8, and […]

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In this paper, we investigate the algebraic structures of homomorphisms and derivations, which play a significant role in the fields of physics and engineering sciences. The main focus of this study is on the perturbation of homomorphism and derivation structures associated with certain bidimensional Additive-Quadratic functional equation in normed triple Lie (3-Lie) systems, within the concept of Ulam-stability. By employing the fixed point theorem, we establish several required theorems, followed by specific and relevant corollaries that highlight the […]

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When the bubble bursts, it will be the indestructible code programmers who will learn to use these tools and new languages, but who also have the discipline required to deploy all these operations at scale. AI adoption numbers are impressive; 78% of global companies use AI in their daily operations, and 90% are exploring it. While some experts, such as Nobel Prize winner Joel Mokyr, say it has a very positive impact on economic growth, by helping people […]

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The life of a prescription at Amazon Pharmacy From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money. Conversational AI Alexandre Alves Anita Vila September 30, 01:32 PM October 02, 11:42 AM Pharmacies play a vital role in ensuring patients health, but the process of dispensing medications is far more complex than it may appear. At Amazon Pharmacy, we are using artificial […]

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