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arXiv:2604.26999v1 Announce Type: new Abstract: Physicsinformed neural networks PINNs approximate solutions of partial differential equations PDEs by embedding physical laws into the loss function.
arXiv:2604.27007v1 Announce Type: new Abstract: We provide a causal analysis of Binary Spiking Neural Networks BSNNs to explain their behavior. We formally define a BSNN and represent its spiking activity as a binary causal model.
arXiv:2604.27082v1 Announce Type: new Abstract: We present a framework for migrating production Large Language Model LLM based systems when the underlying model reaches endoflife or requires replacement.
arXiv:2604.27092v1 Announce Type: new Abstract: Scientific research has long been humanled, driving new knowledge and transformative technologies through the continual revision of questions, methods and claims as evidence accumulates.
arXiv:2604.27096v1 Announce Type: new Abstract: The purpose of our paper is to develop a unified multiagent architecture that automates endtoend machine learning ML pipeline generation from datasets and naturallanguage NL goals, improving efficiency, robustness and explainability.
arXiv:2604.27126v1 Announce Type: new Abstract: This study presents an unsupervised machine learning workflow for electrofacies analysis in the offshore Keta Basin, Ghana, where core data are scarce.
arXiv:2604.27132v1 Announce Type: new Abstract: Large Reasoning Models LRMs and MultiAgent Systems MAS in highstakes domains demand reliable verification, yet centralized approaches suffer four limitations: 1 Robustness, with single points of failure vulnerable to attacks and bias; 2 Scalability,...
arXiv:2604.27134v1 Announce Type: new Abstract: Generative AI is reshaping higher education programming through vibe coding, where students collaborate with AI via natural language rather than writing code linebyline.
arXiv:2604.27150v1 Announce Type: new Abstract: Autonomous crypto trading systems often spend most of their design effort on finding entries, while exits are left to fixed rules that are rarely tested in a systematic way.
arXiv:2604.27151v1 Announce Type: new Abstract: Computeruse agents provide a promising path toward general software automation because they can interact directly with arbitrary graphical user interfaces instead of relying on brittle, applicationspecific integrations.
Users in India are embracing ChatGPT Images 2.0 for creative, personal visuals — from avatars to cinematic portraits.
Messages presented at trial reveal how Zilis, the mother of four of Musk’s children, acted as an intermediary between him and OpenAI.