arXiv:2601.21090v1 Announce Type: new Abstract: The increasing density of many-core architectures necessitates interconnection networks that are both high-performance and fault-resilient. Eisenstein-Jacobi (EJ) networks, with their symmetric 6-regular topology, offer superior topological properties but challenge traditional routing heuristics under fault conditions. This paper evaluates three routing paradigms in faulty EJ environments: deterministic Greedy Adaptive Routing, theoretically optimal Dijkstra’s algorithm, and a reinforcement learning (RL)-based approach. Using a multi-objective reward function to penalize fault proximity and reward path efficiency, the […]

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A DAO (Decentralized Autonomous Organization) is a system that enables collective decision-making through code, without relying on traditional organizational hierarchies such as boards of directors, CEOs, or CTOs. Instead of trust in individuals or institutions, DAOs rely on smart contracts deployed on a blockchain. At its core, a DAO allows participants to propose, vote, and execute decisions in a transparent and verifiable way. Voting power is typically derived from tokens held by participants, where each token represents a unit of voting weight. A typical on-chain DAO is composed […]

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arXiv:2602.06055v1 Announce Type: new Abstract: Current annotation agreement metrics are not well-suited for inter-group analysis, are sensitive to group size imbalances and restricted to single-annotation settings. These restrictions render them insufficient for many subjective tasks such as toxicity and hate-speech detection. For this reason, we introduce a quantifiable metric, paired with a statistical significance test, that attributes polarization to various annotator groups. Our metric enables direct comparisons between heavily imbalanced sociodemographic and ideological subgroups across different datasets and […]

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arXiv:2603.10059v1 Announce Type: new Abstract: Flexible sensors are increasingly employed in soft robotics and wearable devices to provide proprioception of freeform deformations.Although supervised learning can train shape predictors from sensor signals, prediction accuracy strongly depends on sensor layout, which is typically determined heuristically or through trial-and-error. This work introduces a model-free, data-driven computational pipeline that jointly optimizes the number, length, and placement of flexible length-measurement sensors together with the parameters of a shape prediction network for large freeform […]

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Unlike banks, crypto networks run without a central boss and without access requirements. Anyone with a device and Internet can create their own wallet in minutes. They can also participate as “block producers” (miner, “validator,” or equivalent) without sharing their identity. Crypto is pseudonymous and open… and that, without proper protection, could cause bad things like a Sybil attack. The term and the mechanism existed well before cryptocurrencies, since it applies to reputation systems and peer-to-peer (P2P) networks. […]

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