02470oam 22005292 450 991074138100332120221212100811.00-262-37438-20-262-37437-4(CKB)5580000000520650(MiAaPQ)EBC30031101(Au-PeEL)EBL30031101(OCoLC)1373983751(OCoLC)1349459726(OCoLC-P)1349459726(MaCbMITP)14328(EXLCZ)99558000000052065020220721d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrier¡Alerta! engineering on shaky ground /Elizabeth Reddy1st ed.Cambridge, Massachusetts :The MIT Press,[2023]1 online resource (214 pages)Engineering studies0-262-54551-9 Intro -- Series Page -- Title Page -- Copyright -- Table of Contents -- Series Foreword -- Acknowledgments -- Introduction -- I. Environment, Society, and Technology -- 1. Life with Earthquakes -- 2. Earthquakes and Warnings -- II. Risk Mitigation Technology -- 3. A Technology to Mitigate Risk -- 4. Integrating Infrastructures -- III. Engineering Risk Mitigation -- 5. Measuring Earthquakes Like Engineers -- 6. Fieldwork and New Encounters -- Conclusion -- Methodological Appendix -- Index."The author builds on insights developed from observations of Mexico's earthquake early warning system, Sistema de Alerta Sísmica Mexicano, to show how particular social and physical conditions animate the design, maintenance, and use of environmental monitoring technologies, and how they shape where, when, and for whom these technologies manage risk"--Provided by publisher.Engineering StudiesEarthquake predictionMexicoHistoryEnvironmental monitoringMexicoHistoryTECHNOLOGY & ENGINEERING / Social AspectsTECHNOLOGY & ENGINEERING / Civil / EarthquakeSOCIAL SCIENCE / Disasters & Disaster ReliefEarthquake predictionHistory.Environmental monitoringHistory.551.220972Reddy Elizabeth1425149OCoLC-POCoLC-PBOOK9910741381003321¡Alerta3555332UNINA04809nam 22007575 450 991101181880332120250630130231.0978981968912510.1007/978-981-96-8912-5(CKB)39532343000041(MiAaPQ)EBC32186375(Au-PeEL)EBL32186375(DE-He213)978-981-96-8912-5(EXLCZ)993953234300004120250630d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAI for Research and Scalable, Efficient Systems Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, Held in Conjunction with AAAI 2025, Philadelphia, PA, USA, February 25–March 4, 2025, Proceedings /edited by Qingyun Wang, Wenpeng Yin, Abhishek Aich, Yumin Suh, Kuan-Chuan Peng1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (412 pages)Communications in Computer and Information Science,1865-0937 ;25339789819689118 -- AI4Research 2025. -- ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. -- LLMs Tackle Meta-Analysis: Automating Scientific Hypothesis Generation with Statistical Rigor. -- AuditBench: A Benchmark for Large Language Models in Financial Statement Auditing. -- Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework. -- Empowering AI as Autonomous Researchers: Evaluating LLMs in Generating Novel Research Ideas through Automated Metrics. -- Multi-LLM Collaborative Caption Generation in Scientific Documents. -- CypEGAT: A Deep Learning Framework Integrating Protein Language Model and Graph Attention Networks for Enhanced CYP450s Substrate Prediction. -- Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. -- SEAS 2025. -- ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation. -- Knowledge Distillation with Training Wheels. -- PickLLM: Context-Aware RL-Assisted Large Language Model Routing. -- ZNorm: Z-Score Gradient Normalization Accelerating Skip-Connected Network Training without Architectural Modification. -- The Impact of Multilingual Model Scaling on Seen and Unseen Language Performance. -- Information Consistent Pruning: How to Efficiently Search for Sparse Networks?. -- Efficient Image Similarity Search with Quadtrees.This book constitutes the proceedings of the Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, which were held in conjunction with AAAI 2025, Philadelphia, PA, USA, during February 25–March 4, 2025. AI4Research 2025 presented 8 full papers from 35 submissions. The papers covered diverse areas such as agent debate evaluation, taxonomy expansion, hypothesis generation, AI4Research benchmarks, caption generation, drug discovery, and financial auditing. SEAS 2025 accepted 7 full papers from 17 submissions. These papers explore the efficiency and scalability of AI models.Communications in Computer and Information Science,1865-0937 ;2533Machine learningNatural language processing (Computer science)Expert systems (Computer science)Data miningArtificial intelligenceData processingArtificial intelligenceMachine LearningNatural Language Processing (NLP)Knowledge Based SystemsData Mining and Knowledge DiscoveryData ScienceArtificial IntelligenceMachine learning.Natural language processing (Computer science)Expert systems (Computer science)Data mining.Artificial intelligenceData processing.Artificial intelligence.Machine Learning.Natural Language Processing (NLP).Knowledge Based Systems.Data Mining and Knowledge Discovery.Data Science.Artificial Intelligence.006.31Wang Qingyun696033Yin Wenpeng1785205Aich Abhishek1831918Suh Yumin1831919Peng Kuan-Chuan1368114MiAaPQMiAaPQMiAaPQBOOK9911011818803321AI for Research and Scalable, Efficient Systems4404902UNINA