While conventional video coding standards remain predominant in real-world applications, neural video compression has emerged over the past decade as an active research area, offering alternative solutions with potentially significant coding gains through end-to-end optimization. Owing to the rapid pace of recent progress, existing reviews of neural video coding quickly become outdated and often lack a systematic taxonomy and meaningful benchmarking. To address this gap, we provide a comprehensive review of two major classes of neural video codecs […]

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Tuning control policies manually to meet high-level objectives is often time-consuming. Bayesian optimization provides a data-efficient framework for automating this process using numerical evaluations of an objective function. However, many systems, particularly those involving humans, require optimization based on subjective criteria. Preferential Bayesian optimization addresses this by learning from pairwise comparisons instead of quantitative measurements, but relying solely on preference data can be inefficient. We propose a multi-fidelity, multi-modal Bayesian optimization framework that integrates low-fidelity numerical data with […]

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Bitcoin was described as a ‘peer-to-peer electronic cash system’ by its founder, Satoshi Nakamoto, in the Bitcoin whitepaper. However, over the years, the narrative of Bitcoin as ‘Digital Gold’ has become dominant. This is not entirely surprising – for Bitcoin to truly be an alternative monetary system, the store of value function needs to come before the medium of exchange function. But did Bitcoin really live up to its dream of digital gold in 2025? Let’s take a […]

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Think first, code later TL;DR: Set your AI code assistant to read-only state before it touches your files. Common Mistake ❌ You paste your failing call stack to your AI assistant without further instructions. The copilot immediately begins modifying multiple source files. It creates new issues because it doesn’t understand your full architecture yet. You spend the next hour undoing its messy changes. Problems Addressed 😔 The AI modifies code that doesn’t need changing. The copilot starts typing before it […]

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The study addresses the challenges faced by agents in dynamic and uncertain environments, where decision-making is easily disrupted, task structures are difficult to maintain, and strategies lack continuous adaptability. It proposes an adaptive task decomposition and strategy updating method grounded in large model reasoning. The approach first introduces state modeling and semantic context encoding mechanisms that capture environmental non-stationarity, allowing the agent to acquire and integrate temporal information throughout long-term interactions. Building on this foundation, an adaptive task […]

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arXiv:2409.18010v4 Announce Type: replace-cross Abstract: In this paper we propose an end-to-end algorithm for indirect data-driven control for bilinear systems with stability guarantees. We consider the case where the collected i.i.d. data is affected by probabilistic noise with possibly unbounded support and leverage tools from statistical learning theory to derive finite sample identification error bounds. To this end, we solve the bilinear identification problem by solving a set of linear and affine identification problems, by a particular choice […]

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Medical time-series data captures the dynamic progression of patient conditions, playing a vital role in modern clinical decision support systems. However, real-world clinical data is highly heterogeneous and inconsistently formatted. Furthermore, existing machine learning tools often have steep learning curves and fragmented workflows. Consequently, a significant gap remains between cutting-edge AI technologies and clinical application. To address this, we introduce mtslearn, an end-to-end integrated toolkit specifically designed for medical time-series data. First, the framework provides a unified data […]

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FastAPI is a web framework for building APIs with Python. It leverages standard Python type hints to provide automatic validation, serialization, and interactive documentation. When you’re deciding between Python web frameworks, FastAPI stands out for its speed, developer experience, and built-in features that reduce boilerplate code for API development: Use Case Pick FastAPI Pick Flask or Django You want to build an API-driven web app ✅ — You need a full-stack web framework — ✅ You value automatic […]

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