arXiv:2603.16927v1 Announce Type: new Abstract: Multi-uncrewed aerial vehicle (UAV) cooperative perception has emerged as a promising paradigm for diverse low-altitude economy applications, where complementary multi-view observations are leveraged to enhance perception performance via wireless communications. However, the massive visual data generated by multiple UAVs poses significant challenges in terms of communication latency and resource efficiency. To address these challenges, this paper proposes a communication-efficient cooperative perception framework, termed Base-Station-Helped UAV (BHU), which reduces communication overhead while enhancing perception […]

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For many Western startups, “global expansion” typically means one thing: Localizing a product that was already built. Translate the UI. n Add a new payment option. n Adjust pricing slightly. As a result, they are often surprised when adoption stalls. The issue isn’t execution. n The real issue is a flawed assumption. Most Western startups don’t fail in emerging markets because their products are bad. n They fail because the product’s underlying mental model does not translate across […]

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arXiv:2604.07392v1 Announce Type: new Abstract: Autonomous agents operating in dynamic and safety-critical environments require decision-making frameworks that are both computationally efficient and physically grounded. However, many existing approaches rely on end-to-end learning, which often lacks interpretability and explicit mechanisms for ensuring consistency with physical constraints. In this work, we propose an event-centric world modeling framework with memory-augmented retrieval for embodied decision-making. The framework represents the environment as a structured set of semantic events, which are encoded into a […]

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arXiv:2603.22306v1 Announce Type: new Abstract: Affective judgment in real interaction is rarely a purely local prediction problem. Emotional meaning often depends on prior trajectory, accumulated context, and multimodal evidence that may be weak, noisy, or incomplete at the current moment. Although multimodal emotion recognition (MER) has improved the integration of text, speech, and visual signals, many existing systems remain optimized for short-range inference and provide limited support for persistent affective memory, long-horizon dependency modeling, and robust interpretation under […]

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arXiv:2601.10944v1 Announce Type: new Abstract: Multimodal sequential recommendation (MSR) leverages diverse item modalities to improve recommendation accuracy, while achieving effective and adaptive fusion remains challenging. Existing MSR models often overlook synergistic information that emerges only through modality combinations. Moreover, they typically assume a fixed importance for different modality interactions across users. To address these limitations, we propose textbf{P}ersonalized textbf{R}ecommend-ation via textbf{I}nformation textbf{S}ynergy textbf{M}odule (PRISM), a plug-and-play framework for sequential recommendation (SR). PRISM explicitly decomposes multimodal information into unique, […]

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Clarity doesn’t come from thinking; it comes from movement. The correct order is: Decide what you want to change Anchor it to a why that carries weight Let the RAS filter reality Let the how reveal itself through action What + Why (RAS) → How This is the neuroscience of momentum. – You know what you want to change. You’ve known for a while. You just haven’t moved on it. Your life works, and that’s part of the […]

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The International Mathematical Olympiad (“IMO”) is the world’s most prestigious competition for young mathematicians, and has been held annually since 1959. Each country taking part is represented by six elite, pre-university mathematicians who compete to solve six exceptionally difficult problems in algebra, combinatorics, geometry, and number theory.

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