Author

Chao Yang

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Jul 2026

PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems

The rapid growth of AI workloads is turning data centers into large-scale, volatile, yet spatiotemporally flexible grid loads, creating an urgent need for coordinated electricity-computing scheduling. Under stringent grid constraints, schedules from general-purpose large language models (LLMs) are often infeasible, cau...

Kaiwen Jiang, Si-Ya Xu, Zi-Yue Zhu et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Aug 2026

Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and Recommendation

Search and recommendation serve a shared discovery objective but encode intent differently. We study this boundary through Dear Algo on Threads, a deployed product where open-ended requests such as \emph{more NBA news} or \emph{less politics} steer subsequent feed recommendations rather than return a one-shot result li...

Rui Wang, Jiazhou Wang, Zheng Wei et al. · 0 citations