technocracy

arXiv:2601.03364v1 Announce Type: new Abstract: Agile methods, and Scrum in particular, are widely taught in software engineering education; however, there is limited empirical evidence on how these practices function in long-running, student-led projects under academic and hybrid work constraints. This paper presents a year-long case study of an eight-person student development team tasked with designing and implementing a virtual reality game that simulates a university campus and provides program-related educational content. We analyze how the team adapted Scrum […]

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arXiv:2503.19306v2 Announce Type: replace Abstract: This paper introduces the centroid decision forest (CDF), a novel ensemble learning framework that redefines the splitting strategy and tree building in the ordinary decision trees for high-dimensional classification. The splitting approach in CDF differs from the traditional decision trees in theat the class separability score (CSS) determines the selection of the most discriminative features at each node to construct centroids of the partitions (daughter nodes). The splitting criterion uses the Euclidean distance […]

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arXiv:2503.04071v5 Announce Type: replace Abstract: Decision makers routinely use constrained optimization technology to plan and operate complex systems like global supply chains or power grids. In this context, practitioners must assess how close a computed solution is to optimality in order to make operational decisions, such as whether the current solution is sufficient or whether additional computation is warranted. A common practice is to evaluate solution quality using dual bounds returned by optimization solvers. While these dual bounds […]

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TLS 1.3 zero-round-trip-time (0-RTT) resumption reduces reconnection latency by allowing clients to transmit early application data using pre-shared keys (PSK) derived from previously established session tickets. This mechanism is pivotal for latency-sensitive web services, API gateways, and IoT applications. However, the cryptographic foundations of current session tickets—symmetric keys derived from classical X25519 key exchange—are fundamentally vulnerable to Harvest-Now-Decrypt-Later (HNDL) quantum attacks: an adversary capturing session ticket exchanges today can retroactively decrypt PSKs and all 0-RTT early data once […]

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Modern life traps us in a dazzling, human-made bubble that hides a deeper reality. Forgetting our inner “glassy essence” and the greater cosmos, we mistake cleverness for wisdom and power for goodness. Liberation, creativity, and peace come only through detachment, humility, and obedience to realities beyond ego and neon-lit illusions.

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arXiv:2601.05478v1 Announce Type: new Abstract: To reliably assist human decision-making, LLMs must maintain factual internal beliefs against misleading injections. While current models resist explicit misinformation, we uncover a fundamental vulnerability to sophisticated, hard-to-falsify evidence. To systematically probe this weakness, we introduce MisBelief, a framework that generates misleading evidence via collaborative, multi-round interactions among multi-role LLMs. This process mimics subtle, defeasible reasoning and progressive refinement to create logically persuasive yet factually deceptive claims. Using MisBelief, we generate 4,800 instances […]

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The International PLUS-Forum Digital Uzbekistan will be held in Tashkent on May 19-20, 2026. It is the largest event in Central Asia dedicated to the digital transformation of public services, the financial sector, payments infrastructure, and the development of the fintech ecosystem. Over the past five years, the Forum has become a recognized regional platform bringing together representatives of the banking sector, regulatory bodies, the IT industry, e-commerce, retail, and fintech companies from Central Asian countries, as well […]

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arXiv:2603.09842v1 Announce Type: cross Abstract: Surrogate modeling is an essential data-driven technique for quantifying relationships between input variables and system responses in manufacturing and engineering systems. Two major challenges limit its effectiveness: (1) large data requirements for learning complex nonlinear relationships, and (2) heterogeneous data collected from sources with varying fidelity levels. Multi-task learning (MTL) addresses the first challenge by enabling information sharing across related processes, while multi-fidelity modeling addresses the second by accounting for fidelity-dependent uncertainty. However, […]

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