Author: Jude Ward

Authors: Hiroki Tanioka、Tetsushi Ueta、Masahiko Sano Paper: https://arxiv.org/abs/2408.07982 Introduction In August 2024, the Center for Administration of Information Technology (AIT center) at Tokushima University faced a relocation. This prompted discussions on how to effectively communicate the new location to visitors. The initial idea was to use both analog and digital methods, such as signs and QR codes. However, the AIT center, being a hub for digital services, saw an opportunity to innovate further by setting up an online contact point. This led to the proposal of using a tablet terminal with a university character, Tokupon, as a receptionist. The idea evolved…

Authors: Megha R. Narayanan、Thomas W. Morris Paper: https://arxiv.org/abs/2408.06540 Introduction Background The National Synchrotron Light Source II (NSLS-II) at Brookhaven National Laboratory (BNL) is a premier facility that produces high-quality beams essential for scientific research. The alignment of these beamlines involves adjusting a series of precision optical components such as crystals, mirrors, and aperture shutters, each with multiple degrees of freedom. This alignment is crucial for achieving optimal beam quality, characterized by a small size and high intensity. However, the sensitivity of these components to environmental changes and the increasing complexity of beamlines make manual alignment challenging and error-prone. Autonomous Methods…

Authors: Bo-Wen Zhang、Liangdong Wang、Ye Yuan、Jijie Li、Shuhao Gu、Mengdi Zhao、Xinya Wu、Guang Liu、Chengwei Wu、Hanyu Zhao、Li Du、Yiming Ju、Quanyue Ma、Yulong Ao、Yingli Zhao、Songhe Zhu、Zhou Cao、Dong Liang、Yonghua Lin、Ming Zhang、Shunfei Wang、Yanxin Zhou、Min Ye、Xuekai Chen、Xinyang Yu、Xiangjun Huang、Jian Yang Paper: https://arxiv.org/abs/2408.06567 Introduction Language models have become integral to modern natural language processing (NLP) systems, powering applications such as machine translation, conversational agents, text summarization, and question answering. Recent advancements in large language models (LLMs) like GPT-3, BERT, and T5 have demonstrated remarkable proficiency across numerous tasks, emphasizing the importance of pretraining on large-scale datasets to achieve state-of-the-art results. However, traditional dense models face significant challenges in scalability and efficiency as…