arXiv:2601.02367v1 Announce Type: new Abstract: The Israeli-Palestinian conflict remains one of the most polarizing geopolitical issues, with the October 2023 escalation intensifying online debate. Social media platforms, particularly Telegram, have become central to real-time news sharing, advocacy, and propaganda. In this study, we analyze Telegram, Twitter/X, and Reddit to examine how conflict narratives are produced, amplified, and contested across different digital spheres. Building on our previous work on Telegram discourse during the 2023 escalation, we extend the analysis […]

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Reinforcement learning has become a cornerstone technique for developing reasoning models in complex tasks, ranging from mathematical problem-solving to imaginary reasoning. The optimization of these models typically relies on policy gradient methods, whose efficacy hinges on the accurate estimation of an advantage function. However, prevailing methods typically employ static advantage estimation, a practice that leads to inefficient credit assignment by neglecting the dynamic utility of training samples over time. This limitation results in suboptimal policy updates, which in […]

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In this quiz, you’ll test your understanding of Automate Python Data Analysis With YData Profiling. By working through this quiz, you’ll revisit how to generate and display profile reports in a notebook, export reports to files, add column descriptions, and speed up profiling. This quiz focuses on practical YData Profiling tasks such as rendering reports, comparing datasets, and preparing time series data. If you want a deeper walkthrough, review the tutorial linked above. [ Improve Your Python With […]

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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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arXiv:2604.10854v1 Announce Type: cross Abstract: In many problems of data-driven modeling for dynamical systems, the governing equations are not known a priori and must be selected phenomenologically from a large set of candidate interactions and basis functions. In such situations, point estimates alone can be misleading, because multiple model components may explain the observed data comparably well, especially when the data are limited or the dynamics exhibit poor identifiability. Quantifying the uncertainty associated with model selection is therefore […]

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Revisit how Python data classes work with Python Data Classes. You’ll review how to define data classes, add default values to fields, customize ordering and comparisons, and work with immutable data classes. This quiz is based on the video course and reinforces the practical syntax and patterns you need to create concise classes and reduce boilerplate. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every […]

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arXiv:2506.01722v3 Announce Type: replace-cross Abstract: We consider the problem setting of prediction with expert advice with possibly heavy-tailed losses, i.e. the only assumption on the losses is an upper bound on their second moments, denoted by $theta$. We develop adaptive algorithms that do not require any prior knowledge about the range or the second moment of the losses. Existing adaptive algorithms have what is typically considered a lower-order term in their regret guarantees. We show that this lower-order […]

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arXiv:2504.05695v5 Announce Type: replace-cross Abstract: We prove that overparametrized neural networks are able to generalize with a test error that is independent of the level of overparametrization, and independent of the Vapnik-Chervonenkis (VC) dimension. We prove explicit bounds that only depend on the metric geometry of the test and training sets, on the regularity properties of the activation function, and on the operator norms of the weights and norms of biases. For overparametrized deep ReLU networks with a […]

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Introduction: From IDEs to Agentic Command Centers :::info We have officially crossed the event horizon. ::: For decades, the Integrated Development Environment (IDE) was a passive canvas—a glorified typewriter that waited for your keystrokes. :::warning As of February 2026, with the maturity of Google Antigravity, the IDE is dead. ::: We have entered the era of the Agentic Command Center. Antigravity is not a “coding assistant.” :::tip To treat it as such is to buy a Ferrari and push […]

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